SCIS & ISIS
SCIS & ISIS 2008
Session ID : SA-P1
Conference information

Fuzzy Neural Network: with an Emphasis on Fuzzy Learning Rules
*Yong Soo Kim
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
IAFC(Integrated Adaptive Fuzzy Clustering) neural network, which has both stability and plasticity, is a fuzzy neural network. IAFC neural network uses a fuzzy learning rule that is based on fuzzification of Kohonen learning rule and fuzzification of leaky learning rule. Supervised IAFC neural networks are supervised versions of IAFC neural network. Learning rules of Supervised IAFC neural networks are based on fuzzifications of LVQ (Learning Vector Quantization). Iris data set is used to compare the performance of IAFC neural network with those of Kohonen Self-Organizing Feature Map and Fuzzy c-Means and to compare the performances of Supervised IAFC neural networks and those of LVQ algorithm and backpropagation neural network.
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© 2008 Japan Society for Fuzzy Theory and Intelligent Informatics
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