Fuzzy radial basis function network: a parallel design

被引：0
|
作者：
Sushmita Mitra
机构：
[1] Indian Statistical Institute,Machine Intelligence Unit
来源：
Neural Computing & Applications | 2004年 / 13卷
关键词：
Parallel neural architecture; Soft computing; Radial basis function network; Fuzzy clustering; Performance evaluation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The fuzzy radial basis function (FRBF) network comprises an integration of the principles of a radial basis function (RBF) network and the fuzzy c-means (FCM) algorithm. A programmable parallel architecture design is proposed for the FRBF, both for FCM clustering at the hidden layer and the weight training at the output layer of the network. The behavior of the system is described in terms of processor utilization. The performance of the parallel design is quantitatively evaluated.
引用
收藏
页码：261 / 267
页数：6
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