MOBILE GEO-LOCATION ALGORITHM BASED ON LS-SVM

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摘要：Support Vector Machine (SVM) is a powerful methodology for solving problems in non-linear classification, function estimation and density estimation, which has also led to many other recent developments in kernel based methods in general. This paper presents a highaccuracy and fault-tolerant SVM for the mobile geo-location problem, which is an important component of pervasive computing. Simulation results show its basic location performance, and illustrate impacts of the number of training samples and training area on test location error.

原文链接:http://www.cqvip.com//QK/85266X/200504/16076024.html

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关键词：Algorithm Location cation Mobile Mobil 移动定位 最小二乘方支持向量机 机器学习 LS-SVM