摘要
灰色神经网络就是将灰色系统方法与神经网络方法有机地结合起来,对复杂不确定性问题进行求解所建立的模型.结合灰色预测方法与神经网络预测方法,对四川省普通高等学校每年所招收新生人数进行预测.结果表明此种组合模型的精度较高,且具有灰色系统的少数据建模优点及神经网络的精度可控特性.
The gray neural network, which combines the gray system with the neural network is a model for solving complicated and uncertain problems. This paper combines the two methods for forecasting the number of college recruits in Sichuan Province each year. The result shows that this combination model has a better accuracy, and the merits of less data modeling in the gray system and the controllable precision in the neural network.
出处
《云南民族大学学报（自然科学版）》
CAS
2010年第1期60-62,共3页
Journal of Yunnan Minzu University:Natural Sciences Edition
基金
四川省应用基础研究项目(2008JY0112)
关键词
灰色神经网络
预测
招生人数
gray neural network
forecasting
number of college recruits
