LM-BP神经网络在水质预测的应用

The Applications of LM-BP Neural Network in the Prediction of Water Quality

神经网络系统是由众多的神经元可调的连接权值连接而成,具有大规模并行处理、分布式信息存储、良好的自组织自学习能力等特点,可实现非线性关系的隐式表达,它不需要预选确定样本的数学模型,仅通过学习样本数据即可以进行预测。结合水质预测的一些实际情况,探讨了利用LM-BP神经网络进行水质预测的方法,初步建立了基于LM-BP神经网络的预测系统。

Neural network system is connected by the number of neurons and adjustable connection weights which have properties of massively parallelprocessing,distributed information storage and good self-organization self-learning capability; And it can achieve the implicit expression of non-linearrelationship,as well as do not need to pre-determine the mathematical model,however it can predict only by learning sample data.With the actual situation of water quality,the method of predicting water quality is investigated using LM-BP neural network method.The predict system based onLM-BP neural network is constructed.