计算机技术与发展2012，Vol.22Issue(3)：74-76,80,4.
智能神经元网络时间序列预测模型的研究
Application of Dynamic Intelligent Neural Network in Time Series Prediction
摘要
Abstract
The artificial neuron network technology has been developed in theory and practical application, so it is also used in signal processing system to predict nonlinear time series. But because of its character of the black box and being unable to introduce prior knowledge, it is hard to improve prediction accuracy. To solve this problem, introduce the dynamic intelligent neural networks , a new prediction model building up by dynamic prediction and introducing intelligent neuron, which achieves the better prediction result. Then, take the prediction of industrial parameters- MinCurrent-a parameter of a oil for example to validate the method and reveal its practical application value; high prediction accuracy and fast calculation speed.关键词
智能神经元/神经网络/BP算法/时间序列/预测模型Key words
intelligent neuron/ neural network/ BP algorithm/ time series/ prediction model分类
信息技术与安全科学引用本文复制引用
张瑞敏,黄梦涛,程青涛..智能神经元网络时间序列预测模型的研究[J].计算机技术与发展,2012,22(3):74-76,80,4.基金项目
陕西省教育科研计划项目(11JK0984) （11JK0984）
