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基于改进自适应蚁群小波网络的定制产品成本估算
引用本文:李果,单汨源,周欣.基于改进自适应蚁群小波网络的定制产品成本估算[J].计算机工程与应用,2006,42(35):81-83,151.
作者姓名:李果  单汨源  周欣
作者单位:湖南大学,工商管理学院,长沙,410082
基金项目:国家自然科学基金;湖南省科技厅科技计划
摘    要:为提高小波网络对定制产品成本估算的精度,在分析小波网络和蚁群算法基本原理基础上,对蚁群算法进行了改进,提出了基于改进自适应蚁群算法的小波网络学习算法。在对定制产品进行成本估算的实例研究中,得出该方法的收敛速度和求解精度都要优于其它传统学习算法,说明该方法在训练小波网络时具有更好的学习能力和估算精度。

关 键 词:大规模定制  小波网络  蚁群算法  成本估算
文章编号:1002-8331(2006)35-0081-03
收稿时间:2006-05
修稿时间:2006-05

Cost Estimation of Customer-made Product Based on wavelet Network Trained by Modified Auto-adapted Ant Colony Algorithm
LI Guo,SHAN Mi-yuan,ZHOU Xin.Cost Estimation of Customer-made Product Based on wavelet Network Trained by Modified Auto-adapted Ant Colony Algorithm[J].Computer Engineering and Applications,2006,42(35):81-83,151.
Authors:LI Guo  SHAN Mi-yuan  ZHOU Xin
Affiliation:College of Business Administration, Hunan University,Changsha 410082,China
Abstract:In order to improve the precision of cost estimation in customer-made product based on neural network,ant colony algorithm was modified based on analyzing the fundamental of wavelet network and ant colony algoritllm.Tben a learning algorithm for wavelet network,which was modified auto-adapted ant colony algorithm,was put forward.An application example of customization product cost estimation was given at last.Learning process and precision of the algo- rithm is better than the others,which shows wavelet network training based on this algorithm has a better learning ability and precision.
Keywords:mass customization  wavelet network  ant colony algorithm  cost estimation
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