| 基于Matlab的BP神经网络应用 |
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| 引用本文： | 杨宝华. 基于Matlab的BP神经网络应用[J]. 数字社区&智能家居, 2008, 0(7): 124-125 |
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| 作者姓名： | 杨宝华 |
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| 作者单位： | 安徽农业大学信息与计算机学院,安徽合肥230036 |
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| 基金项目： | 安徽省教育厅资助项目（KJ20078158） |
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| 摘 要： | BP学习算法是一种单向传播的多层前向网络,Matlab中的神经网络工具箱是以人工神经网络理论为基础,基于Matlab的工具箱,结合西瓜仁重的预测,验证了BP神经网络预测西瓜仁重的可行性,且BP算法收敛速度快,误差小,值得在预测作物生长中推广。
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| 关 键 词： | Matlab BP神经网络:预测 |
Based on Matlab BP Neural Network Application |
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| YANG Bao-hua. Based on Matlab BP Neural Network Application[J]. Digital Community & Smart Home, 2008, 0(7): 124-125 |
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| Authors: | YANG Bao-hua |
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| Affiliation: | YANG Bao-hua (Institute of Information and Computer, Anhui Agricultural University, Hefei 230036, China) |
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| Abstract: | BP learning algorithm is a one-way transmission of multi-layer to the network, Madab toolbox is based on the theory of artifi- cial neural network, based on Maflab toolbox, with watermelon-heavy forecasts, BP neural network forecast the feasibility of re-watermelon is verified, and fast convergence, small error, should be promoted in the forecast crop growth. |
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| Keywords: | Matlab BP Neural Networks Forecast |
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