基于神经网络的模糊系统池塘淡水养殖溶解氧预测模型

Dissolved Oxygen Fuzzy System Predicting Model in Aquaculture Pond Based on Neural Network

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。

A dissolved oxygen fuzzy system predicting model based on neural network was put forward in this study.106 groups of datum to were used to confirm the fitness of the predicting model.The first 80 groups of datum were acted as training input and the other 26 groups of datum were acted as the confirmed datum 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 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.