计算机工程2011，Vol.37Issue(9)：201-203,206,4.DOI:10.3969/j.issn.1000-3428.2011.09.070
基于多值分类SVM的电梯交通模式识别
Pattern Recognition of Elevator Traffic Mode Based on Multi-value Classification Support Vector Machine
摘要
Abstract
Aiming at the problem of pattern recognition of traffic mode in elevator group control system, this paper proposes a pattern recognition method of elevator traffic mode based on multi-value classification Support Vector Machine(SVM).It analyzes the collected elevator traffic flow data using the direct multi-value classification SVM.The traffic mode classifier is established and it can provide an efficient solution for the recognition of non-linear system with multiple-input and multiple-output.Experimental results show that the method can result in global optimization, small classification errors and the ability to meet group control systems.关键词
多值分类/电梯交通流/支持向量机/电梯群控系统Key words
multi-value classification/ elevator traffic flow/ Support Vector Machine(SVM)/ elevator group control system分类
信息技术与安全科学引用本文复制引用
秦臻,赵建勇,严义..基于多值分类SVM的电梯交通模式识别[J].计算机工程,2011,37(9):201-203,206,4.基金项目
浙江省自然科学基金资助项目(Y1090448) （Y1090448）
2009年浙江省大学生科技创新活动计划基金资助项目 （）
