GA-Based Learning Algorithms to Identify Fuzzy Rules for Fuzzy Neural Networks

@article{Almejalli2007GABasedLA,
  title={GA-Based Learning Algorithms to Identify Fuzzy Rules for Fuzzy Neural Networks},
  author={Khaled Almejalli and Keshav P. Dahal and M. Alamgir Hossain},
  journal={Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007)},
  year={2007},
  pages={289-296}
}
Identification of fuzzy rules is an important issue in designing of a fuzzy neural network (FNN). However, there is no systematic design procedure at present. In this paper we present a genetic algorithm (GA) based learning algorithm to make use of the known membership function to identify the fuzzy rules form a large set of all possible rules. The proposed learning algorithm initially considers all possible rules then uses the training data and the fitness function to perform rule- selection… CONTINUE READING
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