The Research on Engine Multi-objective Optimization with Orthogonal Fuzzy Neural Network
Abs tract:The orthogonal optimization method,fuzzy function and neural network identification system were combined to create a new multi-objective optimal algorithm-OFNN method(Orthogonal Fuzzy Neural Network).This method combines the property of the orthogonal optimization method that equivalent results of comprehensive experiment could be obtained by the least number of experiments,the property of the fuzzy theory founding the evaluation criteria,and the property of the self-learning intelligence charac-teristics of the neural network.By limited tests with orthogonal table and fuzzy neural network self-learn-ing,the OFNN method was applied to optimize the multiple objects of fuel consumption,NOx,Soot,and cylinder peak pressure.It provides a new solution to multi-objective optimization.
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