LM-BP神经网络在水质预测的应用

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。

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

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 investigat...