摘要
针对电能表智能模式检定方法中需要对电能表基本误差建模这一问题，依据神经网络能够逼近任意复杂的非线性函数关系这一特性，提出了基于ＢＰ神经网络的建模方案，将得到的电能表基本误差的神经网络模型运用到电能表智能模式检定中去，获得了很高的精度．
In order to solve the modeling of basic error of energy meters in the intelligence pattern detection, based on neural networks can deal with every nonlinear function. This paper gives a plan using back propagation neural networks. After we use it in our detection, we can achieve high precision.
出处
《哈尔滨理工大学学报》
CAS
2001年第1期28-30,共3页
Journal of Harbin University of Science and Technology
