基于BP神经网络的海军中继级修理能力评估

该文首先介绍了神经网络的基本原理和方法,在系统分析海军中继级修理能力各种影响因素的基础上,构建了海军中继级修理能力评估指标体系。接着详细设计了用于评估修理能力的神经网络模型,并利用MATLAB 仿真软件对结果进行了计算和分析。结果表明BP 神经网络具有很强的解决复杂非线性关系问题的特点,适用于对维修保障系统等复杂系统的分析和评价。
关键词：神经网络；中继级修理； 能力；评估
Application of BP Neural Network in the Estimation of Naval AVIM'S Capability
TIAN Hua ZHU Jian-chong JIN Xing Yao Zuo-qing （Dept．of Management Sci., Naval Univ. of Engineering, Wuhan 430033,China） ABSTRACT: In this paper the basic principle and method are firstly introduced a BP neural network model of Naval AVIM'S Capability is designed, and an evaluation index system is constructed based on influence factor
analysis. At last, the result is calculated an analyzed by using MATLAB software. So, we can learn that BP neural network is a suitable tool for settling a complex nonlinearity relation problem.
KEYWORDS: Neural network; AVIM; capability; Estimation