| BP神经网络梯度函数的分析研究 |
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| 引用本文： | 严晓明,郑之.BP神经网络梯度函数的分析研究[J].福建教育学院学报,2011,12(1):120-122. |
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| 作者姓名： | 严晓明 郑之 |
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| 作者单位： | 福建师范大学数学与计算机科学学院,福建福州,350108 |
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| 摘 要： | 文章对BP神经网络中较为常用的梯度函数进行比较分析。对这几个梯度函数在UCI数据集上的分类以及对非线性函数的回归预测进行matlab仿真,并分析比较分类准确率和非线性函数回归预测精确度。最后给出应用BP神经网络进行仿真时梯度函数的选择方法。
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| 关 键 词： | BP网络 梯度函数 回归预测 分类 |
Research on Gradient Functions of BP Artificial Neural Networks |
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| YAN Xiao-ming,Zheng zhi.Research on Gradient Functions of BP Artificial Neural Networks[J].Journal of Fujian Education Institute,2011,12(1):120-122. |
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| Authors: | YAN Xiao-ming Zheng zhi |
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| Institution: | (School of Mathematics and Computer Science,Fujian Normal University,Fuzhou 350108,China) |
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| Abstract: | Comparative analysis of frequently-used gradient functions of BP artificial neural networks is listed in this paper.It performs simulation of classification on UCI dataset and regressive prediction on nonlinear functions with these gradient functions.Accuracy rate of classification and precision of prediction are analyzed after simulation.Finally,the way of choosing gradient training function of BP is given. |
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| Keywords: | BP Gradient Function regressive prediction classification |
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