Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Identification of fuzzy rules is an important issue in designing of a fuzzy neural network (FNN). Hover, there is no systematic design procedure at present.   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. The proposed GA based learning algorithm has been tested with two different sets of training data. The results obtained from the experiments are promising and demonstrate that the proposed GA based learning algorithm can provide a reliable mechanism for fuzzy rule selection.
['K. Aimejalii', 'Keshav P. Dahal', 'M. Alamgir Hossain']
I am writing a research paper on a idea GA-Based Learning Algorithms to Identify Fuzzy Rules for Fuzzy Neural Networks
[{"from": "human", "value": "I am writing a research paper on a idea GA-Based Learning Algorithms to Identify Fuzzy Rules for Fuzzy Neural Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Identification of fuzzy rules is an important issue in designing of a fuzzy neural network (FNN). Hover, there is no systematic design procedure at present.   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. The proposed GA based learning algorithm has been tested with two different sets of training data. The results obtained from the experiments are promising and demonstrate that the proposed GA based learning algorithm can provide a reliable mechanism for fuzzy rule selection."}]