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Start Over Author "Weihong Zhou" Journal energy procedia
4 results on '"Weihong Zhou"'

2. Decentralized Heating in a Rural Village using Biomass Gasification and Anaerobic Digestion: Economic and Environmental Analysis

Author

Guanyi Chen, Mengjun Yang, Weihong Zhou, Beibei Yan, Zongpeng Xia, and Xue Tian

Subjects
biomass gasification, anaerobic digestion, Environmental analysis, Environmental engineering, Life quality, Investment (macroeconomics), economic analysis, Anaerobic digestion, Rural village, Energy(all), environmental analysis, Environmental science, Economic analysis, Rural area, Biomass gasification, decentralized heating
Abstract

With the fast economic growth, efficient and clean heating is foreseen as an important way of improving the life quality of farmers in northern rural area of China, and is therefore being paid more and more attention. Centralized heating requiring a carefully designed and long-distance piping network may be not applicable to most of rural villages. In this case decentralized heating is preferable. Currently there are two ways of clean decentralized heating applicable for each household i.e., biomass gasification (BG) coupled with a household gas-burning furnace, and anaerobic digestion(AD) coupled with a household gas-burning furnace. The paper presents the economic and environmental analysis referring to the above-mentioned decentralized heating in the Xiaotagu village in Tianjin. The results show that the initial investment of AD heating is almost 1.86 times than BG heating. Operation cost of AD heating is much higher than BG heating. The Environmental benefit of two ways is almost the same, i.e. reducing 560t/yr of CO2 in life cycle, comparing with coal-based heating. The results may be very useful in guiding the future heating modes in rural areas.

Published
2014
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3. Optimization of BP Neural Network Classifier Using Genetic Algorithm.

Author

Weihong, Zhou and Shunqing, Xiong

Subjects
ARTIFICIAL neural networks, CLASSIFICATION, GENETIC algorithms, MATHEMATICAL optimization, SIMULATION methods & models, STOCHASTIC convergence
Abstract

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 to train the initial weights values of the BP neural network, 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 . [Copyright &y& Elsevier]

Published
2011
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4. Construction of Mamdani Fuzzy Classifier Based on Genetic Algorithm.

Author

Weihong, Zhou and Shunqing, Xiong

Subjects
GENETIC algorithms, FUZZY logic, CLASSIFICATION, PRECISION (Information retrieval), THEORY of knowledge, SIMULATION methods & models, A priori
Abstract

Abstract: Most of the fuzzy classifiers are created by fuzzy rules based on apriori knowledge and expert''s knowledge, but in many applications, it''s difficult to obtain fuzzy rules without apriori knowledge of the data. To solve this problem, a new way of creating Mamdani fuzzy classifier based on Mamdani fuzzy logical system is proposed in this paper, and the new fuzzy classifier is improved with the genetic algorithm further. The result of data simulation with Iris data shows the new Mamdani fuzzy classifier has minimum number of features, minimum number of fuzzy rules and better precision. [Copyright &y& Elsevier]

Published
2011
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