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62 results on '"Neural network classifier"'

2. Sky Segmentation by Fusing Clustering with Neural Networks

Author

Yazdanpanah, Ali Pour, Regentova, Emma E., Mandava, Ajay Kumar, Ahmad, Touqeer, Bebis, George, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Li, Baoxin, editor, Porikli, Fatih, editor, Zordan, Victor, editor, Klosowski, James, editor, Coquillart, Sabine, editor, Luo, Xun, editor, Chen, Min, editor, and Gotz, David, editor

Published
2013
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3. Hybrid Real-coded Genetic Algorithm and MIMO CMAC NN Classifier for Solving Medical Data Classification Problems

Author

Wu, Jui-Yu, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Liu, Derong, editor, Alippi, Cesare, editor, Zhao, Dongbin, editor, and Hussain, Amir, editor

Published
2013
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6. Hybrid Artificial Immune Algorithm and CMAC Neural Network Classifier for Supporting Business and Medical Decision Making

Author

Wu, Jui-Yu, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Tang, Jie, editor, King, Irwin, editor, Chen, Ling, editor, and Wang, Jianyong, editor

Published
2011
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7. Blind Image Watermark Analysis Using Feature Fusion and Neural Network Classifier

Author

Lu, Wei, Sun, Wei, Lu, Hongtao, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sun, Fuchun, editor, Zhang, Jianwei, editor, Tan, Ying, editor, Cao, Jinde, editor, and Yu, Wen, editor

Published
2008
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8. Detection and Recognition of Scoreboard for Baseball Videos

Author

Hsieh, Chaur-Heh, Huang, Chin-Pan, Hung, Mao-Hsiung, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Huang, De-Shuang, editor, Wunsch, Donald C., II, editor, Levine, Daniel S., editor, and Jo, Kang-Hyun, editor

Published
2008
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9. Non-linear Least Squares Features Transformation for Improving the Performance of Probabilistic Neural Networks in Classifying Human Brain Tumors on MRI

Author

Georgiadis, Pantelis, Cavouras, Dionisis, Kalatzis, Ioannis, Daskalakis, Antonis, Kagadis, George, Sifaki, Koralia, Malamas, Menelaos, Nikiforidis, George, Solomou, Ekaterini, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gervasi, Osvaldo, editor, and Gavrilova, Marina L., editor

Published
2007
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12. Accuracy of Neural Network Classifiers as a Property of the Size of the Data Set

Author

Crowther, Patricia S., Cox, Robert J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Gabrys, Bogdan, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2006
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13. Trawling Pattern Analysis with Neural Classifier

Author

Tang, Ying, Yu, Xinsheng, Wang, Ni, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Jiao, Licheng, editor, Wang, Lipo, editor, Gao, Xin-bo, editor, Liu, Jing, editor, and Wu, Feng, editor

Published
2006
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14. Adaptive On-Line Neural Network Retraining for Real Life Multimodal Emotion Recognition

Author

Ioannou, Spiros, Kessous, Loic, Caridakis, George, Karpouzis, Kostas, Aharonson, Vered, Kollias, Stefanos, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kollias, Stefanos D., editor, Stafylopatis, Andreas, editor, Duch, Włodzisław, editor, and Oja, Erkki, editor

Published
2006
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15. Robust Moment Invariant with Higher Discriminant Factor Based on Fisher Discriminant Analysis for Symbol Recognition

Author

Weliamto, Widya Andyardja, Seah, Hock Soon, Wibowo, Antonius, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Dough, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Liu, Wenyin, editor, and Lladós, Josep, editor

Published
2006
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16. Multi-module Image Classification System

Author

Kim, Wonil, Oh, Sangyoon, Kang, Sanggil, Kim, Dongkyun, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Larsen, Henrik Legind, editor, Pasi, Gabriella, editor, Ortiz-Arroyo, Daniel, editor, Andreasen, Troels, editor, and Christiansen, Henning, editor

Published
2006
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17. Hierarchical Classification of Object Images Using Neural Networks

Author

Kim, Jong-Ho, Lee, Jae-Won, Kang, Byoung-Doo, Kwon, O-Hwa, Seong, Chi-Young, Kim, Sang-Kyoon, Park, Se-Myung, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Jun, editor, Yi, Zhang, editor, Zurada, Jacek M., editor, Lu, Bao-Liang, editor, and Yin, Hujun, editor

Published
2006
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18. Image Dominant Colors Estimation and Color Reduction Via a New Self-growing and Self-organized Neural Gas

Author

Atsalakis, A., Papamarkos, N., Andreadis, I., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Sanfeliu, Alberto, editor, and Cortés, Manuel Lazo, editor

Published
2005
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19. A General Fuzzy Min Max Neural Network with Compensatory Neuron Architecture

Author

Nandedkar, A. V., Biswas, P. K., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Khosla, Rajiv, editor, Howlett, Robert J., editor, and Jain, Lakhmi C., editor

Published
2005
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20. Multi Class Adult Image Classification Using Neural Networks

Author

Kim, Wonil, Lee, Han-Ku, Park, Jinman, Yoon, Kyoungro, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Kégl, Balázs, editor, and Lapalme, Guy, editor

Published
2005
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21. A New ART Neural Networks for Remote Sensing Image Classification

Author

Liu, AnFei, Li, BiCheng, Chen, Gang, Zhang, Xianfei, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Lipo, editor, Chen, Ke, editor, and Ong, Yew Soon, editor

Published
2005
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22. Discretization of Continuous Attributes in Rough Set Theory and Its Application

Author

Zhang, Gexiang, Hu, Laizhao, Jin, Weidong, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhang, Jun, editor, He, Ji-Huan, editor, and Fu, Yuxi, editor

Published
2005
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23. A Novel Feature Selection Approach and Its Application

Author

Zhang, Gexiang, Jin, Weidong, Hu, Laizhao, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhang, Jun, editor, He, Ji-Huan, editor, and Fu, Yuxi, editor

Published
2005
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24. An NN-Based Malicious Executables Detection Algorithm Based on Immune Principles

Author

Guo, Zhenhe, Liu, Zhengkai, Tan, Ying, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yin, Fu-Liang, editor, Wang, Jun, editor, and Guo, Chengan, editor

Published
2004
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25. Remote Sensing Image Classification Based on Evidence Theory and Neural Networks

Author

Chen, Gang, Li, Bi-Cheng, Guo, Zhi-Gang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yin, Fu-Liang, editor, Wang, Jun, editor, and Guo, Chengan, editor

Published
2004
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30. Evolutionary Music and the Zipf-Mandelbrot Law: Developing Fitness Functions for Pleasant Music

Author

Manaris, Bill, Vaughan, Dallas, Wagner, Christopher, Romero, Juan, Davis, Robert B., Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Cagnoni, Stefano, editor, Johnson, Colin G., editor, Cardalda, Juan J. Romero, editor, Marchiori, Elena, editor, Corne, David W., editor, Meyer, Jean-Arcady, editor, Gottlieb, Jens, editor, Middendorf, Martin, editor, Guillot, Agnès, editor, Raidl, Günther R., editor, and Hart, Emma, editor

Published
2003
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32. A New Adaptive Color Quantization Technique

Author

Atsalakis, Antonios, Papamarkos, Nikos, Strouthopoulos, Charalambos, Goos, Gerhard, editor, Hartmanis, Juris, editor, van Leeuwen, Jan, editor, Dorffner, Georg, editor, Bischof, Horst, editor, and Hornik, Kurt, editor

Published
2001
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37. Fuzzy systems with learning capability

Author

Abe, Shigeo, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Goos, G., editor, Hartmanis, J., editor, van Leeuwen, J., editor, Martin, Trevor P., editor, and Ralescu, Anca L., editor

Published
1997
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40. Invariant Pattern Recognition: Towards Neural Network Classifiers

Author

Lebreton, G., Marom, E., Konforti, N., Mendlovic, D., Aigrain, P., editor, Aldana, F., editor, Danielmeyer, H. G., editor, Faugeras, O., editor, Gallaire, H., editor, Kowalski, R. A., editor, Lehn, J. M., editor, Levi, G., editor, Metakides, G., editor, Oakley, B., editor, Rasmussen, J., editor, Tribolet, J., editor, Tsichritzis, D., editor, Van Overstraeten, R., editor, Wrixon, G., editor, Smith, S. Desmond, editor, and Neale, Roderick F., editor

Published
1993
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43. Detecting Bots in Follower Markets

Author

Guowei Shen, Wei Wang, Guozhong Dong, Jiguang Lv, Miao Yu, Liangyi Gong, Yaxue Hu, and Wu Yang

Subjects
Artificial neural network, Third party, Microblogging, Computer science, business.industry, media_common.quotation_subject, Machine learning, computer.software_genre, Neural network classifier, Graph model, Set (abstract data type), Social media, Artificial intelligence, business, computer, Reputation, media_common
Abstract

Along with the widely using of microblog, third party services such as follower markets sell bots to customers to build fake influence and reputation. However, the bots and the customers that have large numbers of followers usually post spam messages such as promoted messages, messages containing malicious links. In this paper, we propose an effective approach for bots detection based on interaction graph model and BP neural network. We build an interaction graph model based on user interaction and design robust interaction-based features. We conduct a comprehensive set of experiments to evaluate the proposed features using different machine learning classifiers. The results of our evaluation experiments show that BP neural network classifier using our proposed features can be effectively used to detect bots compared to other existing state-of-the-art approaches.

Published
2014

44. Hand Gesture Recognition for Human-Computer Interaction Using Moment Invariants and Neural Network Classifier

Author

Chen Ran, Shuangyuan Wang, Chengliang Liu, and Liang Gong

Subjects
Artificial neural network, Computer science, Gesture recognition, Speech recognition, Image segmentation, Invariant (mathematics), Neural network classifier, Gesture
Abstract

Gesture recognition is of utmost importance in intelligent human-computer interaction HCI. In this paper, an algorithm using moment invariants and BP neural network classifier for hand gesture recognition is proposed. Seveni¾?invariant moments are extracted after the image segmentation, which quantitatively describes the targeted hand gesture, and then the trained BP neural networks are applied to recognize the gesture. The algorithm is validated and achieves a high recognition rate of 99% in experiments, which makes it feasible for practical HCI in some restricted environments.

Published
2013

45. Optimization of BP Neural Network Classifier Using Genetic Algorithm

Author

Xiong Shunqing and Zhou Weihong

Subjects
Quantitative Biology::Neurons and Cognition, Artificial neural network, Computer science, business.industry, Time delay neural network, Data simulation, Computer Science::Neural and Evolutionary Computation, Pattern recognition, Neural network classifier, Iris flower data set, Probabilistic neural network, ComputingMethodologies_PATTERNRECOGNITION, ComputingMethodologies_GENERAL, Artificial intelligence, business, Classifier (UML)
Abstract

In this paper, a new BP neural network classifier was constructed and optimized by Genetic Algorithm, first, the BP neural network was improved by using genetic algorithm[2] to train the initial weights values of the BP neural network[3], second, a new classifier was constructed based on the new BP neural network optimized by Genetic Algorithm. Finally, data simulation experiment was taken and the result of data simulation with famous IRIS data shows that the new BP neural network classifier improved by the Genetic Algorithm has higher accuracy of classification and greater gradient of convergence than the BP Neural Network classifier which Proposed in literature [3].

Published
2013

46. An Ensembled Neural Network Classifier for Vehicle Classification Using ILD

Author

Tessy Mathew, K. Vijaya, L. Jeganathan, and Kalyani Desikan

Subjects
Computer Science::Robotics, ComputingMethodologies_PATTERNRECOGNITION, Artificial neural network, business.industry, Computer science, Detector, Pattern recognition, Artificial intelligence, Single loop, business, Neural network classifier, Classifier (UML)
Abstract

Vehicle classification is required to study various parameters related to traffic. It is impossible to estimate the density of vehicles, number of vehicle types etc. without vehicles classification. This paper reviews various neural network algorithms using single loop detector that can be used in real time traffic management system to classify vehicles. Since it is evident that neural network is a weak classifier, we propose a model which uses an ensembled neural network algorithm using ILD to achieve high speed and accuracy than the traditional method.

Published
2012

47. A Modified Neural Network Classifier with Adaptive Weight Update and GA-Based Feature Subset Selection

Author

Zhibo Yu and Jinhai Liu

Subjects
Training set, Artificial neural network, Computer science, business.industry, Pattern recognition, Quadratic classifier, Machine learning, computer.software_genre, Neural network classifier, Fuzzy logic, Fault detection and isolation, ComputingMethodologies_PATTERNRECOGNITION, Genetic algorithm, Artificial intelligence, business, Classifier (UML), computer, Membership function, Test data
Abstract

This paper proposes a new neural network classifier system with adaptive weight update. The system is divided into two sections namely, feature subset selection section and classification section. Genetic algorithm is introduced to complete feature subset selection to save the cost of training dataset. Classification section is inspired by a further research on the weight coefficient of membership function in "Data-Core-Based Fuzzy Min-Max Neural Network"(DCFMN).The modified classifier can improve the classification accuracy when training data is much smaller than testing data where this situation often occurs in real word due to its capacity of updating its weight coefficient while testing data online. This ability is really indispensible to classify unlabeled dataset such as field data for fault detection. The proposed modified classifier is tested on data-base available online. Results demonstrate the good qualities of this new neural network classifier.

Published
2012

48. Research of Neural Network Classifier Based on FCM and PSO for Breast Cancer Classification

Author

Lin Wang, Xujiewen Wang, Ajith Abraham, Keke Liu, and Lei Zhang

Subjects
Artificial neural network, Computer science, business.industry, Particle swarm optimization, Centroid, Pattern recognition, medicine.disease, Machine learning, computer.software_genre, Neural network classifier, ComputingMethodologies_PATTERNRECOGNITION, Breast cancer, Convergence (routing), medicine, Artificial intelligence, Neural network classification, Breast cancer classification, business, computer
Abstract

Breast cancer is one of the most common tumors related to death in women in many countries. In this paper, a novel neural network classification model is developed. The proposed model uses floating centroids method and particle swarm optimization algorithm with inertia weight as optimizer to improve the performance of neural network classifier. Wisconsin breast cancer datasets in UCI Machine Learning Repository are tested with neural network classifier of the proposed method. Experimental results show that the developed model improves search convergence and performance. The accuracy of classification of benign and malignant tumors could be improved by the developed method compared with other classification techniques.

Published
2012

49. The Design of the Weeds Classification System Based on BP Neural Network

Author

Li Zhang, Dong-ming Li, and Bo Du

Subjects
Engineering, Artificial neural network, business.industry, Feature vector, Network structure, Pattern recognition, Girth (graph theory), computer.software_genre, Neural network classifier, Square (algebra), Area ratio, Artificial intelligence, Data mining, Enhanced Data Rates for GSM Evolution, business, computer
Abstract

This design analyzed the shape parameters of weeds. Through the data comparison and experimental verification, it comprehensively utilized the six effective shape parameters as a neural network input feature vector, which contained the broad and long edge ratio, the leafage and circumcircle area ratio, the leafage and girth’s square ratio ,the leafage and circum-rectangle area ratio, the framework and area ratio, the framework and girth ratio. In this article,neural network was trained and improved. The frequency, sample rate and the recognition correction rate for the test samples should be considered in the network structure. The experimental results showed that Neural Network Classifier was able to identify crops and weeds well. For specific plants, the recognition rate could be improved using of a specific shape features.

Published
2012

50. Using Uncertainty Information to Combine Soft Classifications

Author

Mario Caetano, Luisa M. S. Gonçalves, and Cidália Costa Fonte

Subjects
Pixel, business.industry, Computer science, Pattern recognition, computer.software_genre, Perceptron, Neural network classifier, Class (biology), Image (mathematics), Fuzzy classifier, Random subspace method, ComputingMethodologies_PATTERNRECOGNITION, Data mining, Artificial intelligence, business, computer
Abstract

The classification of remote sensing images performed with different classifiers usually produces different results. The aim of this paper is to investigate whether the outputs of different soft classifications may be combined to increase the classification accuracy, using the uncertainty information to choose the best class to assign to each pixel. If there is disagreement between the outputs obtained with the several classifiers, the proposed method selects the class to assign to the pixel choosing the one that presents less uncertainty. The proposed approach was applied to an IKONOS image, which was classified using two supervised soft classifiers, the Multi-layer Perceptron neural network classifier and a fuzzy classifier based on the underlying logic of the Minimum-Distance-to-Means. The overall accuracy of the classification obtained with the combination of both classifications with the proposed methodology was higher than the overall accuracy of the original classifications, which shows that the methodology is promising and may be used to increase classification accuracy.

Published
2010

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