文献类型：会议论文

英文题名：The Study of Compost Quality Evaluation Modeling Method Based on Classify Support Vector Machine for Sewage Treatment

作者：Tian, Jingwen[1];Feng, Qian[2];Gao, Meijuan[1]

通讯作者：Tian, JW[1]

机构：[1]Beijing Union Univ, Dept Automat Control, Beijing 100101, Peoples R China;[2]Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Dept Automat Control, Beijing 100101, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：2nd International Conference on Bio-Inspired Computing

会议日期：SEP 14-17, 2007

会议地点：Zhengzhou, PEOPLES R CHINA

语种：英文

外文关键词：Biomimetics - Composting - Computation theory - Genetic algorithms - Parameter estimation - Sewage treatment - Support vector machines

摘要：Because of the complicated interaction of the sludge compost components, it makes the compost quality evaluation system appear the characters of non-linearity, randomness and uncertainty. According to the physical circumstances of sludge compost, a compost quality evaluation modeling method based on support vector machine (SVM) is presented. We select the index of sludge compost quality and take the high temperature duration, degrdn rate, nitrogen content, average oxygen concentration and maturity degree as the evaluation parameters. We construct the structure of SVM network that used for the quality evaluation of sludge compost and use the genetic algorithm (CA) to optimize SVM parameters. With the ability of strong self-learning and well generalization of SVM, the modeling method can truly evaluate the sludge compost quality by learning the index information of sludge compost quality. The experimental results show that this method is feasible and effective.