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基于神经网络的模糊系统池塘淡水养殖溶解氧预测模型(英文)
引用本文:王瑞梅,傅泽田,何有缘.基于神经网络的模糊系统池塘淡水养殖溶解氧预测模型(英文)[J].农业科学与技术,2010(8):14-18.
作者姓名:王瑞梅  傅泽田  何有缘
作者单位:[1]中国农业大学经济管理学院,北景100083 [2]中国农业大学工学院,北京100083
基金项目:国家自然科学基金项目(40801227);农业部海洋与河口渔业资源及生态重点开放实验室开放基金(开-2-04-09).
摘    要:建立基于神经网络的模糊系统预测模型,应用基于神经网络的模糊系统模型对淡水养殖池塘溶解氧进行预测,用实测的106组监测数据对来检验模型的可靠性,其中80组数据作为训练样本,26组数据作为检验样本,将预测值与实测值进行比较。结果表明,该模型预测值与实测数据拟合良好,解决了生产实际中溶解氧状况无法及时预报和动态监测难等问题。

关 键 词:池塘淡水养殖  溶解氧  模糊系统  神经网络

Prediction Model of Dissolved Oxygen Fuzzy System in Aquaculture Pond Based on Neural Network
WANG Rui-mei,FU Ze-tian,HE You-yuan.Prediction Model of Dissolved Oxygen Fuzzy System in Aquaculture Pond Based on Neural Network[J].Agricultural Science & Technology,2010(8):14-18.
Authors:WANG Rui-mei  FU Ze-tian  HE You-yuan
Institution:1. College of Economics and Management,China Agriculture University,Beijing 100083; 2. College of Engineering,China Agriculture University,Beijing 100083
Abstract:A dissolved oxygen fuzzy system predicting model based on neural network was put forward in this study. 106 groups of data were used to confirm the fitness of the predicting model. The first 80 groups of data were acted as training input and the other 26 groups of data were acted as the confirmed data in the system. The result showed that the testing data was approximately the same as the predicted data. So it gave a new way to solve the problem that the status of the water quality couldn't be predicted in time and it's hard to watching and measuring the factors dynamic.
Keywords:Aquaculture pond  Dissolved oxygen  Fuzzy system  Neural network
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