| 旋转机组神经网络新信息加权预测模型的研究 |
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| 引用本文： | 徐小力,张森,王信义.旋转机组神经网络新信息加权预测模型的研究[J].机械工程学报,2000,36(8):92-94. |
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| 作者姓名： | 徐小力 张森 王信义 |
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| 作者单位： | 1. 北京机械工业学院机械工程系? 北京? 100085
2. 北京理工大学 |
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| 基金项目： | 国家自然科学基金资助项目(59775002)。 |
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| 摘 要： | 针对当前旋转机组状态预测神经网络对新信息强调不足的问题，分析了原因，改进了BP网络模型，提出了新信息加权神经网络新型预测模型。提供了该预测模型的数学表达式和拓扑结构。取得了令人满意的在线预测的效果。
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| 关 键 词： | 预测模型 神经网络 新信息加权 |
| 修稿时间： | 1999年8月11日 |
STUDY ON THE WEIGHTED NEW INFORMATION PREDICTING MODEL OF THE NEURAL NETWORK TO ROTARY SETS |
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| Xu Xiaoli,Zhang Sen,Wang Xinyi.STUDY ON THE WEIGHTED NEW INFORMATION PREDICTING MODEL OF THE NEURAL NETWORK TO ROTARY SETS[J].Chinese Journal of Mechanical Engineering,2000,36(8):92-94. |
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| Authors: | Xu Xiaoli Zhang Sen Wang Xinyi |
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| Affiliation: | Xu Xiaoli ; Zhang Sen (Beijing Institute of Machinery Industry) WangXinyi (Beijing Institute of Technology) |
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| Abstract: | The defects of the present predicting models of neuralnetworks that didn' t lay enough stress on the new information for working conditions predicting to rotary seta are analyzed, the BP network model is improved and a new predicting model of the weighted new information predicting model of neural network is put forward. The mathematical expression and the topological construction of the new model are presented. The satisfactory resules of the on - line predicting are gained. |
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| Keywords: | Predicting model Neural network Weighted new information |
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