控制矿山改建项目水污染的混沌神经网络算法

The Chaotic Neutral Network Algorithm for Controlling the Water Pollution in Mine Reconstruction

人类工程活动在其建设、运行及扩建期都会对其附近及下游地区的水体产生不同性质、不同程度的影响。利用混沌优化的轨道遍历性和人工神经网络的学习、记忆、联想和容错性 ,对某矿山扩建项目中污染物的受纳水系进行优化 ,以有效地控制生产过程中的主要污染物如COD ,Pb等。

Any mankind engineering projects will have effect of various properties and degrees on the water body in the nearby and downstream areas during their construction, operation or expansion. By use of the orbital ergodic property of chaotic optimization and the learning, memory, association and fault-tolerant functions of artificial neutral network, the optimization of the pollutant-receiving water system in a mine reform project was made so as to effectively control the main pollutants such as COD,Pb etc.which were produced in the production process.