一种基于组合人工智能技术的销售预测模型研究  

A Research on Sale Forecasting Model Based on Combinatorial Artificial Intelligence Technology

作　　者：杨林[1] 黄立平[1] 刘仲英[1] 

机构地区：[1]同济大学经济与管理学院,上海200092

出　　处：《计算技术与自动化》2001年第2期35-38,共4页Computing Technology and Automation

摘　　要：本文研究出一种适合于销售预测的基于组合人工智能技术的算法模型 ,并通过煤炭销售的应用实例同 BP网络预测模型作了对比。该组合模型很好地弥补了 BP网络收敛于局部最优解的缺陷 ,其先进的求解机理和思想对人工智能应用于其他市场预测有所启发。An algorithm model based on combinatorial artificial intelligence(AI) technology is offered in this paper to forecast the sale. A comparison is made between the model and Bp forecasting model with an example of coal sale, which shows that the combinatorial model can make up the drawback perfectly that Bp neutral network converges in partial optimum answer.The improved solving principle and idea may enlighten the usage of artificial intelligence in other market forecasts.

关 键 词：人工智能 BP网络 遗传算法 组合模型 销售 

分 类 号：F713.3[经济管理—产业经济] TP18[自动化与计算机技术—控制理论与控制工程]