Composite taste recognition method based on fuzzy neural network

被引：1
|
作者：
Zhang, Yu [1 ]
Qi, Mei-Xing [2 ]
Tong, Min-Ming [3 ]
机构：
[1] Department of Electronic and Information Engineering, Suzhou Vocational University, Suzhou 215104, China
[2] Department of Electromechanic Engineering, Institute of Vocational Technology of SIP, Suzhou 215021, China
[3] School of Information and Electric Engineering, China University of Mining, Xuzhou 221008, China
来源：
Journal of Networks | 2013年 / 8卷 / 09期
关键词：
Fuzzy inference - Genetic algorithms - Metadata - Wavelet transforms - Data handling;
D O I：
10.4304/jnw.8.9.2021-2028
中图分类号：
学科分类号：
摘要：
In order to make recognition for the composite taste, the paper puts forward the research on the composite taste recognition method based on fuzzy neural network based on the wavelet transform. According to the wavelet transformation and the compression and extraction of the data of the taste signals that are collected by the sensor, we use the fuzzy neutral network as the recognition tool of the taste signal. Besides, we add genetic algorithm to make the function optimization for the network weights and the data processing and fuzzy recognition of the composite taste signal are presented. Finally, we make the test for the network performance. The results show that it has feasibility and effectiveness that the fuzzy neural network is introduced into the fuzzy identification of the taste signals. © 2013 ACADEMY PUBLISHER.
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页码：2021 / 2028
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