Use of Adaptive Resonance Theory for Evaluating Intelligent Residential Communities in China

摘要：

Evaluation of intelligent residential communities (IRC) is complicated by the high aggregation of the multi criteria and multi-dimensional perspectives. Most of the existing evaluation models are criticized for being prone to intentional or unintentional biases due to their depending on experts opinion. In response to this deficiency, this paper constructed an IRC evaluation model using the Adaptive Resonance Theory (ART). The proposed model used the designed ART2 algorithm to cluster IRCs under evaluation automatically and find out the optimal solution easily. The effectiveness of the proposed neural network approach was demonstrated through benchmarking the clustering achieved by ART2 with the analysis result obtained in the overall balancing model presented first.

关键词： the adaptive resonance theory (ART) intelligent residential communities (IRC) evaluation the overall balancing theory

作者: Zhiye Huang

作者单位: School of Management Science and Engineering Central University of Finance and Economics Beijing, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 3476-3479

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）