基于BP-SVM 的生活污水处理工艺流程设计算法.

In order to improve the efficiency of domestic wastewater treatment process design, a wastewater treatment process database was established to save data samples abstracted from real domestic wastewater treatment processes, and the process was selected by the support vector machine classification algorithm based on boundary points(BP-SVM). Support vector machine classification algorithm based on boundary points(BP-SVM)was used to select the process. Multiple BP-SVMs were set up to solve the multi-classification problem. Parameter optimization of BP-SVM parameters was performed using genetic algorithm(GA). The results of the study show that the process design algorithm gives a suitable solution, verifies an accuracy of 94%, and consumes less compared to other algorithms. The feasibility and effectiveness of the algorithm is proved. [ABSTRACT FROM AUTHOR]