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Application of a Neural Network to Groundwater Quality Evaluation

机译:神经网络在地下水质量评价中的应用

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Artificial backpropagation (BP) neural network, is widely used in robotics, automotive applications and real-time systems. Considering the pattern recognition flinction of BP network, groundwater quality of Lankao county, Henan province was evaluated by using BP network. BP network used in this application is composed of three layers, they are input, hidden and output layers. Thirty-seven groundwater quality samples from Lankao county, Henan province were chosen as training patterns. Then, thirty-nine groundwater quality samples were evaluated by the trained BP network and the evaluation results are good.
机译:人工背部经验(BP)神经网络,广泛用于机器人,汽车应用和实时系统。考虑到BP网络,Lankao县地下水质量,采用BP网络评估了Lankao County的地下水质量。本应用中使用的BP网络由三个图层组成,它们是输入,隐藏和输出层。河南省Lankao County的三十七种地下水质量样本被选为培训模式。然后,通过训练的BP网络评估了三十九个地下水质量样本,评价结果良好。

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