| 神经网络动量—自适应学习率BP算法与BP算法的性能比较及其应用 |
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| 引用本文： | 金仁杰. 神经网络动量—自适应学习率BP算法与BP算法的性能比较及其应用[J]. 微型电脑应用, 2001, 17(7): 30-32 |
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| 作者姓名： | 金仁杰 |
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| 作者单位： | 上海大学科技园区 |
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| 摘 要： | 动量－自适应学习率BP算法是对标准BP算法的改进，本文对这两种算法进行了分析，并利用计算机程序对其性能进行了比较测试，利用VISUAL C＋＋和MATLAB开发了仿真测试程序。
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| 关 键 词： | 神经网络 动量－自适应学习率 BP算法 数学模型 |
| 修稿时间： | 2001-03-05 |
Momentum-Adaptive-Learning-Rate BP Algorithm Compared With the Standard BP Algorithm and Its Application |
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| Jin Renjie. Momentum-Adaptive-Learning-Rate BP Algorithm Compared With the Standard BP Algorithm and Its Application[J]. Microcomputer Applications, 2001, 17(7): 30-32 |
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| Authors: | Jin Renjie |
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| Abstract: | Momentum-Adaptive-Learn-Rate BP algorithm is an improvement of the standard BP algorithm. This paper makes an analysis on the two algorithms. It also makes their comparison by testing them using a program developed in Visual C and MatLab. |
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| Keywords: | BP algorithm momentum learn self-adapting convergence |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
