摘要
利用BP、RBF神经网络自适应学习法模型,对社会消费品总额进行了预测和研究,结果表明用RBF网络自适应学习法所建立的模型经过训练后,可得到较精确的预测结果,并具有较强的应用性。
Using BP,the RBF neural network auto-adapted learning method model,the forecast and the research to the social consumable total amount has carried on,and final indication establishes the model with the RBF network auto-adapted learning method after the training,the precise forecast result may obtain,and has the strong utility.
出处
《辽宁省交通高等专科学校学报》
2009年第4期27-29,共3页
Journal of Liaoning Provincial College of Communications
关键词
RBF网络
社会消费品总额
预测模型
RBF network
social consumable total amount
forecast model