| 引用本文: | 古勇,胡协和,褚健.基于改进的PRPE算法的神经网络建模[J].控制理论与应用,1996,13(6):785~791.[点击复制] |
| GU Yong,HU Xiehe,CHU Jian.A Neural Network Modelling Based on Modified PRPE Algorithm and Its Application to an Industrial Electric Heater[J].Control Theory and Technology,1996,13(6):785~791.[点击复制] |
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| 基于改进的PRPE算法的神经网络建模 |
| A Neural Network Modelling Based on Modified PRPE Algorithm and Its Application to an Industrial Electric Heater |
| 摘要点击 767 全文点击 351 投稿时间：1995-08-28 修订日期：1996-01-02 |
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| DOI编号 |
| 1996,13(6):785-791 |
| 中文关键词 非线性系统 多层神经网络 建模 辨识 速推预报误差法 电加热炉 |
| 英文关键词 nonlinear system multi--layered neural network modelling identification recursive predition error algorithm electric heater |
| 基金项目 |
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| 中文摘要 |
| 本文改进了多层神经网络的并行递推预报误差（PRPE）算法，极大提高了算法的运行速度．并采用此算法对一非线性多变量耦合的电加热炉的工业实际对象，建立了对象的动态离散神经网络模型，取得了满意的模型拟合效果． |
| 英文摘要 |
| The paper presents a modified parallel recursive prediction error algorithm of a multi- layered neural network，which needs less computational time.The modified algorithm is applied to model a nonlinear multivariable coupled industrial electric heater.A dynamic decrete -time neural network model is constructed.The result shows that the model data agrees well with the real data. |
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