Prediction model for permeability index by integrating case-based reasoning with adaptive particle

• 作 者: 朱红求 Yang Chunhua Gui Weihua
• 机 构: SchoolofInfomaationScience＆Engineering
• 出 处: 高技术通讯：英文版
• 发表日期: 2009年3期
• 关键词: 基于案例推理 粒子群优化 预测模型 自适应 指数 预测精度 密闭鼓风炉 优化使用 lead and zinc smelting permeability in
• 基金项目: Supported the by the National Natural Science Foundation （No. 60874069, 60634020）, the National High Technology Research and Development Pro- gramme of China （No. 2009AA04Z124）, and Hunan Provincial N

<正> To effectively predict the permeability index of smelting process in the imperial smelting furnace,anintelligent prediction model is proposed.It integrates the case-based reasoning(CBR)with adaptive par-ticle swarm optimization(PSO).The number o