該文首先介紹了神經網絡的基本原理和方法,在系統分析海軍中繼級修理能力各種影響因素的基礎上,構建了海軍中繼級修理能力評估指標體系。接著詳細設計了用于評估修理能力的神經網絡模型,并利用MATLAB 仿真軟件對結果進行了計算和分析。結果表明BP 神經網絡具有很強的解決復雜非線性關系問題的特點,適用于對維修保障系統等復雜系統的分析和評價。
關鍵詞：神經網絡；中繼級修理； 能力；評估
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