期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2019
卷号：7
期号：6
页码：3331-3337
DOI：10.15680/IJIRCCE.2019. 0706012
出版社：S&S Publications
摘要：The proposed scheme is to improve the performance of mobile ad-hoc tethered network using particle
swarm optimisation. However, the performance is based on rule induction algorithms could be enhanced through
various means time, distance and velocity. It could be in the form of predictive accuracy, comprehensibility, speed, and
scalability thus forming Quality of Service (QOS). This research concentrates on the performance enhancement of rule
induction algorithm through the swarm intelligence techniques and implements it by using cooperative convolution
framework for mobile tethered network ensuring availability, maintainability, reliability and scalability.
关键词：Machine Learning; Linear Regression; K;Nearest Neighbour; Confusion Matrix; Sales Forecasting
