| 基于BP神经网络对苹果呼吸强度的预测 |
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| 引用本文： | 李宏文,董庆利,杨佳丽,屠康.基于BP神经网络对苹果呼吸强度的预测[J].江苏农业学报,2007,23(4):335-339. |
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| 作者姓名： | 李宏文 董庆利 杨佳丽 屠康 |
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| 作者单位： | 南京农业大学食品科技学院,农业部农畜产品加工与质量控制重点开放实验室,江苏南京,210095 |
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| 基金项目： | 国家自然科学基金
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江苏省自然科学基金
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教育部跨世纪优秀人才培养计划 |
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| 摘 要： | 应用BP神经网络,通过苹果贮藏期间多维数据与呼吸强度的相关分析确定网络的拓扑结构,建立苹果呼吸强度的人工神经网络模型.仿真结果表明,该神经网络能很好地拟合不同贮藏条件下的呼吸强度,模型预测精度达到90%以上.同时,通过遗传算法优化BP神经网络的初始权值和阈值矩阵,使神经网络的预测精度进一步提高.
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| 关 键 词： | BP神经网络 呼吸强度 预测 遗传算法 神经网络 苹果 呼吸强度 预测精度 BP Neural Network Based Apple Intensity Respiration 阈值矩阵 初始权值 算法优化 遗传 网络模型 贮藏条件 拟合 仿真结果 人工神经 拓扑结构 相关分析 |
| 文章编号： | 1000-4440（2007）04-0335-05 |
| 修稿时间： | 2006-09-04 |
Prediction of Respiration Intensity of Apple Based on BP Neural Network |
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| LI Hong-wen,DONG Qing-li,YANG Jia-li,TU Kang.Prediction of Respiration Intensity of Apple Based on BP Neural Network[J].Jiangsu Journal of Agricultural Sciences,2007,23(4):335-339. |
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| Authors: | LI Hong-wen DONG Qing-li YANG Jia-li TU Kang |
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| Institution: | College of Food Science and Technology, Nanjing Agricultural University, Key Open Lab of Agri-food Processing and Quality Control, Ministry of Agriculture, Nanjing 210095, China |
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| Abstract: | A network topological structure was determined and an artificial neural network model for predicting respiration rate of Red Fuji apple during storage was established by using BP neural network.The correlation between multi-dimension input data and respiration rate was reported.Compared to the determined respiration rate under different storage conditions,the BP neural network model well predicted the respiration rate with the prediction precision above 90%.Meanwhile,the optimization of the weight and threshold of matrix by the application of genetic algorithms of BP neural network can improve the prediction precision. |
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| Keywords: | BP neural network respiration intensity prediction genetic algorithm |
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