【摘要】 应用BP(误差反向传播算法)、AGA(自适应遗传算法)和AGA-BP神经网络对发电机定子超高频局部放电的三种类型进行了模式识别。结合AGA和BP算法各自的优点,构造了AGA-BP混合算法作为神经网络的学习算法。实验结果表明,AGA-BP神经网络既解决了BP神经网络对初始权值敏感和容易局部收敛的问题,又提高了AGA神经网络的收敛速度、稳定性和求解质量。更多还原

【Abstract】 Using BP-NN,AGA-NN and AGA-BP-NN,we distinguished between three types of partial discharge pattern appearing in generator stator.By combining adaptive genetic algorithm(AGA) with BP algorithm,this paper presents AGA-BP hybrid algorithm to train neural network(NN).Tests gave satisfactory results of the classification process.Compared with BP-NN and AGA-NN,AGA-BP-NN can overcome the entrapment in local optimum of BP-NN and the premature of AGA-NN.Thus,the convergence,discrimination and generalization ability of AGA-BP-NN is improved remarkably.更多还原