局部神经网络结构与性能的分析与比较

2021 11th International Conference on Intelligent Control and Information Processing (ICICIP) Pub Date : 2021-12-03 DOI:10.1109/ICICIP53388.2021.9642169

S. Cong, Kezhi Li

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引用次数: 0

摘要

本文综合了局部神经网络。对常用的三种局部网络CMAC、b样条和RBF的网络结构及其激活函数进行了详细的分析和比较。本文还讨论了ART-2的网络结构。本文以这些局部网络的模糊系统为基础，描述了它们的模糊结构和模糊性能。本文的研究和分析对局部神经网络的选择和设计具有指导意义。

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Analysis and Comparison of the Structure and Performance of Local Neural Networks

The paper synthesizes the local neural networks. Network structures and their activation functions of three local networks CMAC, B-spline, RBF that are often used to approach functions are analyzed and compared in detail. The network structure of ART-2 is also discussed. Based on the fuzzy system of these local networks, the paper depicts their fuzzy structures and performances. The study and analysis in the paper are useful to instruct to select and design the local neural networks.

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2021 11th International Conference on Intelligent Control and Information Processing (ICICIP)

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