| 反馈BP神经网模型及其稳定性分析 |
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| 引用本文： | 程怀韬,罗四维,丁嘉种.反馈BP神经网模型及其稳定性分析[J].北京交通大学学报(自然科学版),1993(4). |
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| 作者姓名： | 程怀韬 罗四维 丁嘉种 |
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| 作者单位： | 北方交通大学计算机科学技术系，北方交通大学计算机科学技术系，北方交通大学计算机科学技术系 |
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| 摘 要： | 实践证明具有反馈的 BP 神经网比传统的 BP 神经网具有更加优越的特性和新颖的性质.本文建立了反馈 BP 网的数学模型.并从动力学角度,利用 Lyapunov 函数对其稳定性进行了分析,最后给出了反馈 BP 网的应用实例.
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| 关 键 词： | 神经网络 稳定性 识别 |
Back-Propagation Neural Network Model with Feedback and its Stability Analysis |
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| Chen Huaitao,Luo Siwei,Ding Jazhong.Back-Propagation Neural Network Model with Feedback and its Stability Analysis[J].JOURNAL OF BEIJING JIAOTONG UNIVERSITY,1993(4). |
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| Authors: | Chen Huaitao Luo Siwei Ding Jazhong |
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| Institution: | Chen Huaitao;Luo Siwei;Ding Jazhong Department of Computer Science and Technology |
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| Abstract: | Practice has proved that BP neural network with feedback has more excellent characters and new properties than traditional BP neural network.This paper establishes the math-model of feedback BP network,and then,by using Lyapunov Function,makes stability analysis in light of dynamics,finally gives some applicatian instances of feedback BP network. |
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| Keywords: | neural network stability recognition |
| 本文献已被 CNKI 等数据库收录！ |
