摘要： 提供了一种神经元网络学习算法和平均偏差辨识模型方法,通过发电机冷却模型的仿真实验结果,验证了作者提供的神经元网BPBP络方法能够实现提高仿真精度的目的。
关键词:
数据融合,
神经元网络,
仿真,
水电站,
发电机冷却模型
Abstract: A kind of learning algorithm and mean-error model identification method of BP neural network have been presented in this paper. Based on the simulation example of dynamotor cooling model, the method presented in this paper has been tested successfully on improving the simulation precision aspect. ;;;;
中图分类号:
张德干,郝先臣,周建华,赵海. BP神经元网络在水电融合仿真系统中的应用研究[J]. , 2002, 28(01): 39-41.
ZHANG Degan, HAO Xianchen, ZHOU Jianhua, ZHAO Hai. Application Research of BP Neural Network in Hydroelectricity Fusion Simulation System[J]. , 2002, 28(01): 39-41.