Abstract
This paper analysed the traditional back-propagation (TBP) algorithm, studied the CRI-fuzzy adaptive back-propagation model (CFABP), and proposed a new method to get the fuzzy rules based on genetic algorithm. Finally, Two practical examples were used for comparing the performance of TBP algorithm with improved BP algorithm. The simulation results indicated that the new algorithm had improved TBP algorithm effectively.
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