The Application of water supply scheme as reclaimed water source for the power plant based on support vector machine
As for comprehensive evaluation of alternative schemes which can not confirm its goal attribute weight or membership, a support vector machine learning algorithm is presented. Based on water supply scheme as reclaimed water source for the power plant, the learning algorithm sets up a model to synthesize attribute optimization utilizing the support vector machine. The result shows that the comprehensive evaluation value of three schemes were 0.24, 0.55 and 0.61, which shows that the third scheme is reasonable. Contrasted with actual choice scheme and AHP to determine scheme, the result is the same as them. The effect of comprehensive evaluation is feasible for the selection of water supply scheme by support vector machine method.
reclaimed water support vector machine water supply scheme comprehensive evaluation
Bo Sun Jiancang Xie
Institute of Water Conservancy and Hydroelectric Power Xian University of Technology Xian, China
国际会议
成都
英文
169-172
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）