补偿遗传模糊神经网络及其应用

Yanqing Zhang, A. Kandel
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引用次数: 63

摘要

从出版商:这本书提出了一个强大的混合智能系统基于模糊逻辑,神经网络,遗传算法,以及相关的智能技术。新型补偿遗传模糊神经网络已广泛应用于模糊控制、非线性系统建模、模糊规则库压缩、稀疏模糊规则库扩展、模糊知识发现、时间序列预测、模糊博弈和模式识别等领域。所提出的软计算系统能够有效地进行语言词级模糊推理和数字数据级信息处理。本书还介绍了各种新颖的软计算技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compensatory Genetic Fuzzy Neural Networks and Their Applications
From the Publisher: This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms, and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games, and pattern recognition. The proposed soft computing system is effective in performing both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also presents various novel soft computing techniques.
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