关键词: 生物生态组合, 混沌, 和声搜索算法, 径向基神经网络, 负荷分配, 水质预测, 虚拟仪器

Abstract: To meet the practical require on sewage treatment with bio-ecological technology, this paper solves the load distribution problem and predicts the water quality by establishing a new model ICHS-RBF which uses the improved chaotic harmony search algorithm to optimize parameters of the radial basis function neural networks. Taking a sewage treatment plant from Chongqing for instance, a series of simulation experiments have been done. The results prove that this model can make a reasonable distribution and has reinforcement learning properties and accurate forecasts, the absolute measure mistake of the water quality prediction is between 0.4% and 6.3%. At last, a sewage process simulation system based on this model is developed with virtual instrument LabVIEW, it provides a good platform for process control research.

Key words: bio-ecological technology, chaotic, harmony search algorithm, radial basis function neural network, load distribution, water quality prediction, virtual instrument