基于改进自适应蚁群小波网络的定制产品成本估算  

Cost Estimation of Customer-made Product Based on wavelet Network Trained by Modified Auto-adapted Ant Colony Algorithm

作　　者：李果[1] 单汨源[1] 周欣[1] 

机构地区：[1]湖南大学工商管理学院,长沙410082

出　　处：《计算机工程与应用》2006年第35期81-83,151,共4页Computer Engineering and Applications

基　　金：国家自然科学基金资助项目(70372039);湖南省科技厅资助项目(Hnmie-A-029)。

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。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.

关 键 词：大规模定制 小波网络 蚁群算法 成本估算 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]