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基于人工神经网络的现代军机研制费用估算模型
引用本文:黄隽,曲东才.基于人工神经网络的现代军机研制费用估算模型[J].海军航空工程学院学报,2004,19(2):283-286.
作者姓名:黄隽  曲东才
作者单位:海军航空工程学院研究生管理大队;海军航空工程学院自动控制系,烟台,264001
摘    要:阐述了针对现代军机研制费用估算现状,用基于人工神经网络理论建立了现代军机研制费用估算模型。给出建模流程,分别采用动量自适应算法和 L-M 算法的 BP 网络来实现,并对其特点加以分析比较。在小样本情况下,编制了 Matlab 仿真软件并进行了仿真,证明了所建立的研制费用模型的准确性,仿真结果表明该方法比传统的回归分析方法精度高。

关 键 词:人工神经网络  军机  研制费用  仿真
修稿时间:2003年6月5日

R&DC Estimating Model of Modern Military Aircraft based on ANN
HUANG Juan,QU Dong-Cai.R&DC Estimating Model of Modern Military Aircraft based on ANN[J].Journal of Naval Aeronautical Engineering Institute,2004,19(2):283-286.
Authors:HUANG Juan  QU Dong-Cai
Institution:HUANG Juan Graduate Students'Brigade of NAEI,QU Dong-Cai Department of Automatic Control Engineering,NAEI,Yantai,264001)
Abstract:According to the current situation,a modeling procedure is put forward.A model based on the ANN is made for R&DC estimating of modem military aircraft,and achieved by momentum adaptive and L-M algorithm's Bp net,whose features are analyzed and compared with.In the case of small sample estimation,a Matlab's simulating software is programmed.The simulation tests the accuracy of the model and presents that the model has a better precision than recurrent analysis model.
Keywords:ANN  military aircraft  R&DC  simulation  
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