FRBF: A fuzzy radial basis function network

被引：30

作者：

Mitra, S ^{[1
]}

Basak, J ^{[1
]}

机构：

[1] Indian Stat Inst, Machine Intelligence Unit, Kolkata 700035, W Bengal, India

来源：

NEURAL COMPUTING & APPLICATIONS | 2001年 / 10卷 / 03期

关键词：

fuzzy clustering; neuro-fuzzy computing; pattern classification; radial basis function network;

D O I：

10.1007/s521-001-8052-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The FRBF network is designed by, integrating the principles of a radial basis function network and the fuzzy c-means algorithm. The architecture of the network is suitably modified at the hidden layer to realise a novel neural implementation of the fuzzy clustering algorithm. Fuzzy set-theoretic concepts are incorporated at the input, output and hidden layers, enabling the model to handle both linguistic and numeric inputs, and providing a soft output decision. The effectiveness of the model is demonstrated on a speech recognition problem.

引用

页码：244 / 252

页数：9

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