Abstract
At present, phosphate in one trough is a research focus. Traditional research methods have unfavorable factors, such as time-consuming, material costs, pollution, unsafe and so on. In this paper, intelligent simulation system is constructed based on neural network. For any combination of a set of experimental data, the system can calculate the membrane weight and corrosion resistance results. Based on the calculating results, users can choose an optimizing combination data to arrange experiment for verification. The intelligent simulation methods not only resolve the huge experiments problems, but also achieve the optimal data selection, at the same time saving experiment’s resource.
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