摘要
电梯交通模式识别是一项重要的工作,其准确性直接影响到电梯群控系统的整体性能。文章论述了近年来人工神经网络、模糊逻辑、支持向量机、粒子群算法等人工智能方法在电梯交通模式识别中的应用,并指出了未来的发展方向。
Elevator traffic pattern recognition is an important work, its accuracy directly affects the overall performance of an elevator group control system. Applications of artificial intelligence methods such as artificial neural network (ANN), fuzzy logic, support vector machine (SVM) and particle swarm optimization (PSO) algorithm in elevator traffic pattern recognition in recent years are discussed in this paper, and the future development direction is pointed out.
出处
《湖南农机》
2014年第2期48-49,共2页
Hunnan Agricultural Machinery
基金
四川省重大技术装备创新研制项目计划基金(川财建[2013]153号)
公安海警学院科研发展基金(2013XYPYZZ009)
