A new algorithm is presented for training multilayer feedforward neural networks by integrating a genetic algorithm with an adaptive conjugate gradient neural network learning algorithm.
本文提出了一种用于多层前馈神经网络训练的新算法,它把遗传算法与自适应变形梯度学习算法集成起来。
Diagnosis models based on multilayer feedforward neural networks are widely used in the field of machinery fault diagnosis.
基于多层前向网络的诊断模型在设备故障诊断领域应用比较广泛。
In this paper, the theory and algorithm of on-line identification of coherent generators based on multilayer feedforward neural networks are presented.
基于多层前债神经网络理论,本文提出了电力系统暂态稳定计算中同调发电机组在线识别的基本理论及其算法。