摘要
基于神经网络建立三元复合驱系统岩电关系的数学模型。神经网络的辨识采用Levenberg-Marquardt（LM）方法。这种方法具 有很快的收敛速度和良好的收敛精度,适用于非线性系统的建模与辨识。
According to the digital model of rock-electricity relation in three-unit compound system formed by neuro-network , the identification of neuro-network adopts Levenberg-Marquardt method, which possesses fast convergence speed and high convergence precision and is suitable for the model forming and identification of nonlinear system .
出处
《自动化技术与应用》
2002年第1期21-22,25,共3页
Techniques of Automation and Applications
关键词
油田
三元复合驱系统
岩电关系
神经网络
建模方法
采油
neuro-network nonlinear system identification Levenberg-Marquardt method rock-electricity relation
