摘要
针对污水处理过程运行状态监控中的正常运行状态样本数多而异常运行状态样本数少的特点,提出加权支持向量机方法。在理论上推导出不同类别的权重满足一定的关系时可以有效地补偿各类别训练样本数不均衡导致的不利影响,从而提高对异常运行状态的检出精度。通过实验仿真说明该方法的有效性。
Faced with the fact that training samples belonging to normal operation status are much more than ones belonging to abnormal operation status, the weighted support vector machine is presented. When the weights of penalty parameter for different class satisfy a relation equation, the undesirable effect caused by the unbalanced training class sizes is compensated, and classification accuracy of abnormal operation status is improved. Simulated experiments show the method is effective.
出处
《化工自动化及仪表》
EI
CAS
2005年第1期18-20,共3页
Control and Instruments in Chemical Industry
关键词
污水处理过程
支持向量机
运行状态监控
分类
wastewater treatment process
support vector machine (SVM)
operation monitoring
classification
