【摘要】 文章针对人工神经网络易陷入局部极小、收敛速度慢的缺点,而遗传算法具有全局寻优的特点,将二者结合起来形成一种遗传神经网络的混合算法;通过实例分析和统计学检验,表明该算法可以运用于爪极发电机漏磁非线性回归分析中,并且遗传神经网络非线性回归是准确和高效的。更多还原

【Abstract】 In order to overcome the shortcomings of the artificial neural network(ANN) that it is usually trapped to a local optimum and has a low rate of convergence,considering the advantage of global optimal searching of the genetic algorithm(GA),a combining algorithm for neural network training is formed by combining the ANN and the GA.The results of real examples and statistical tests show that this algorithm can be effective and reliable for nonlinear regression analysis.更多还原