1,109 results on '"Ignacio Rojas"'
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202. Input Variable Selection in Hierarchical RBF Networks.
203. TaSe Model for Long Term Time Series Forecasting.
204. Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.
205. A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases.
206. Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals.
207. Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model.
208. A Possibilistic Approach to RBFN Centers Initialization.
209. Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation.
210. Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network.
211. New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems.
212. Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation.
213. Special issue on advances in computational intelligence and machine learning (IWANN 2013).
214. Advances in Artificial Neural Networks and Computational Intelligence - Special Issue of IWANN 2013.
215. Angiomiolipoma nasal: reporte de dos casos y revisión de la literatura
216. Fine control of monotonic systems using a global self-learning adaptive fuzzy controller.
217. Geometrical ICA-Based Method for Blind Separation of Super-Gaussian Signals.
218. Plugging an Histogram-Based Contrast Function on a Genetic Algorithm for Solving PostNonLinear-BSS.
219. Soft-computing techniques for time series forecasting.
220. MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality.
221. Lattice ICA for the separation of speech signals.
222. The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction.
223. MultiGrid-Based Fuzzy Systems for Function Approximation.
224. Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning.
225. Clinical outcomes and prognostic factors in patients with optic neuritis related to NMOSD and MOGAD in distinct ethnic groups from Latin America
226. Skin Lesions Diagnosis Based on Fluorescence Image Processing: Simple Parameters Scanning.
227. Studying the Convergence of the CFA Algorithm.
228. Evolutionary Algorithm Using Mutual Information for Independent Component Analysis.
229. Co-evolutionary Algorithm for RBF by Self-Organizing Population of Neurons.
230. A New Geometrical ICA-based Method for Blind Separation of Speech Signals.
231. An Independent Component Analysis Evolution Based Method for Nonlinear Speech Processing.
232. Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks.
233. Sequential Learning Algorithm of Neural Networks Systems for Time Series.
234. Analysis of the Functional Block and Operator Involved in Fuzzy System Design.
235. The Synergy of GA and Fuzzy Systems for Multidimensional Problem: Application to Time Series Prediction.
236. Statistical Analysis of the Different Operator Involved in the Fuzzy Inference Process.
237. New Online Self-Evolving Neuro Fuzzy controller based on the TaSe-NF model.
238. Optimizing multiple sequence alignments using a genetic algorithm based on three objectives: structural information, non-gaps percentage and totally conserved columns.
239. Simulation of a New Self-Structured Fuzzy Controller Applied to a Temperature Control Process.
240. Innovative Strategy to Improve Precision and to Save Power of a Real-Time Control Process Using an Online Adaptive Fuzzy Logic Controller.
241. Multiobjective Optimization and Comparison of Nonsingleton Type-1 and Singleton Interval Type-2 Fuzzy Logic Systems.
242. An effective, practical and low computational cost framework for the integration of heterogeneous data to predict functional associations between proteins by means of Artificial Neural Networks.
243. Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning
244. Evolutionary Training of Neuro-fuzzy Patches for Function Approximation.
245. SSA, SVD, QR-cp, and RBF Model Reduction.
246. Neural Networks, Clustering Techniques, and Function Approximation Problems.
247. Structure identification of fuzzy controllers in real time.
248. Evolutive Identification of Fuzzy Systems for Time-Series Prediction.
249. New Methodology for Structure Identification of Fuzzy Controllers in Real Time.
250. Genetic algorithm approach to nonlinear blind source separation.
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