The Security Level Evaluation of Purified Water Using BP Neural Network
it is a very important and difficult problem to evaluate the security of purified water of each sampling batch. The artificial neural networks have characteristics that they have a strong power to be self-organizing, selflearning and self-adapting. At the same time, it is not only able to output nonlinear mapping but also easy to learn and train. As a resut, its widely applied in various study fields. Through setting the water safety level, we finally calculated every batchs security level and sorted all the batches. Combined with actual situation, this method gives pretty good results.
purified water security level MATLAB BP neural network
Xiru Li Ruixue Liu Juan Gao Lanqiang Yang Yan Xing
School of Mechanics & Civil Engineering China University of Mining & Technology Xuzhou China
国际会议
昆明
英文
171-174
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）