子波神经网络在柴油机电控燃油喷射系统中的应用  

Application of Wavelet Neural Network to Electronically Controlled Fuel Injection System of ICE

作　　者：黄强[1] 刘永长[1] 魏明锐[1] 

机构地区：[1]华中科技大学,武汉430074

出　　处：《小型内燃机与摩托车》2002年第1期23-25,共3页Small Internal Combustion Engine and Motorcycle

摘　　要：本文论述了子波神经网络的应用背景 ,研究了子波神经网络的结构和算法及其在柴油机电控燃油喷射系统中的应用 ,并与BP神经网络进行了比较。结果表明 :子波神经网络具有收敛速度快 ,逼近性好 ,学习精度高等优点。In this paper, the application of the wavelet neural network (WNN) is briefly described. It mainly introduces in detail the structure and arithmetic of the WNN and the application to the electronically controlled fuel injection system of ICE. Then it is compared with the BP neural network, the result shows that the former has many merits such as the faster convergence speed, the better approach capability and the studying precision.

关 键 词：子波神经网络 BP神经网络 电控燃油喷射系统 仿真 柴油机 仿真实验 

分 类 号：TK421.42[动力工程及工程热物理—动力机械及工程]