Grey Synthetical Prediction Model of Military Logistics Based on Evolutionary Neural Network

摘要：

The paper applies the neural network to the prediction of the military logistics, it has proposed a kind of grey synthetical prediction model based on the evolutionary neural network. It applies the global searching method of the genetic algorithm to the neural network and provides different data processing methods adding the grey theory to carry on the prediction. It has improved the precision of prediction. Apply the algorithm to instance simulation; the result indicates that the grey prediction performance is obviously better than model of grey GM (1, 1) based on the evolutionary neural network.

作者: Jin Yu Limin Zhi Yunming Qiu Le Jin Hailu Du

作者单位: Zhenjiang Watercraft College, Zhenjiang, Jiangsu, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 663-665

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）