基于RBF网络的柴油机运行工况分析

The Analysis of the Operating Conditions of the Diesel Engine Based on RBF Neural Network

本文介绍了神经网络中运用广泛的RBF神经网络的模型及其学习算法,将其引入到柴油机运行工况分析领域,在MATLAB环境下,建立了柴油机喷油特性的RBF神经网络模型,并用以模拟柴油机的喷油特性,模拟结果得到了实验验证。

In this paper, the model of RBF (Radio basis function) network, witch is widely applied, and their learning algorithms are introduced. Then the approaches are applied to analyze the operating conditions of the Diesel Engine, and in MATLAB environment, set up a RBF neural network of the injection characteristics. The model is used to simulate the injection characteristics of the Diesel Engine, and the result is found to be in agreement with the experiment data.