计算机与现代化Issue(9)：100-104,5.DOI:10.3969/j.issn.1006-2475.2015.09.020
基于粒子群的产品变型设计时间预测研究
Predicting Product Variant Design Time Based on PSO Algorithm
摘要
Abstract
Before product secondary development, it is very difficult to forecast product variant design time. A variant design time prediction method based on the combination of the extremum disturbed particle swarm optimization ( tPSO) with fuzzy neural net-work ( FNN) is proposed. First of all, the time factor set is designated and the corresponding FNN time prediction model is estab-lished. However, the typical algorithm of FNN is easy to fall into local minimum, slow convergence speed and low learning effi-ciency. And then, the FNN model is optimized by tPSO to overcome disadvantages above. At last, the method is verified by the time prediction of printer variant design. The result indicates that the model is feasible and effective.关键词
产品变型设计/设计时间预测/粒子群算法/模糊神经网络Key words
product variant design/design time prediction/particle swarm optimization/fuzzy neural network分类
信息技术与安全科学引用本文复制引用
王兆华,同淑荣,黄丽..基于粒子群的产品变型设计时间预测研究[J].计算机与现代化,2015,(9):100-104,5.基金项目
国家自然科学基金资助项目(70771091) （70771091）
江苏省高校自然科学基金资助项目(12KJB210001) （12KJB210001）
