What is it about?

This model uses the fuzzy rule set generated by ANFIS coupled to a set of fuzzy logic neurons whose training network parameters to extreme learning machine. A Singleton neuron performs the outputs of the network.

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Why is it important?

This model assists in problems that are necessary to approximate the result values of a problem.

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This page is a summary of: Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems, INTELIGENCIA ARTIFICIAL, November 2018, Asociacion Española para la Inteligencia Artificial (AEPIA),
DOI: 10.4114/intartif.vol22iss63pp114-133.
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