Experts has a new look! Let us know what you think of the updates.

Provide feedback
Home
Scholarly Works
Fault diagnosis of WWTP based on improved support...
Journal article

Fault diagnosis of WWTP based on improved support vector machines

Abstract

Because of the characteristics of the abnormal data in waste water treatment plant (WWTP), such as the unbalanced distribution and cost sensitiveness of the fault classes data, a risk functional RWLOO(α) with weight coefficient based on leave-one-out errors was presented, and then Genetic Algorithms (GA) was used to globally optimize the risk functional RWLOO(α). In the optimization algorithm, the kernel function and some parameters of support …

Authors

Li XD; Zeng GM; Jiang R; Li F; Shi L; Liang J; Wei AL; Huang GH

Journal

Hunan Daxue Xuebao Journal of Hunan University Natural Sciences, Vol. 34, No. 12, pp. 68–71

Publication Date

December 1, 2007

ISSN

1000-2472