Research on R & D Cost Forecast of the Life Cycle Based on Wavelet Neural Network

被引：0

作者：

Jin Feng ^{[1
]}

Lv Ying ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China

来源：

PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年

关键词：

Wavelet Neural Network (WNN); Cost Forecast; Life Cycle;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on the analysis of the time frequency character of wavelet function and the learning capability of the artificial neural network, a method for R & D cost forecast of the life cycle is presented on the basis of wavelet neural network(WNN). The theoretical analysis and results of the MATLAB simulation show that the model and algorithm of the WNN are effective and superior to traditional BP neural network in its faster convergence and higher prediction accuracy.

引用

页码：2438 / 2441

页数：4

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