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
收藏
页码：244 / 252
页数：9
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