【摘要】 分析了ＢＰ算法和遗传算法（ＧｅｎｅｔｉｃＡｌｇｏｒｉｔｈｍｓ，以下简称ＧＡ）各自的优缺点．将改进的ＧＡ与ＢＰ算法相结合，提出了一种新的ＧＡ－ＢＰ算法，并将其应用于模糊神经网络的参数优化．仿真结果验了本算法的有效性．更多还原

【Abstract】 This paper analyzes the advantage and flaw of BPalgorithm and genetic algorithm(GA). Basing the improvedGA. and combining BP algorithm, we present a kind of newGA-BP algorithm, and optimize fuZZy neural network by usingthis GA-BP algorithm. The simulation verifies. its validity.更多还原