文章基本信息

标题：Intelligent Machine Learning System For Smart Room Using Sensor Network
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作者：C.SUGITHA ; FLEENA CHRISTY ; S.CHANDRASEKARAN 等
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：2013
卷号：1
期号：6
出版社：S&S Publications
摘要：Advent development in the Micro and Nano electronics paves way for sophisticated living of human usingsensors. In Smart environment, human interaction with the computing system is not manual commands, the need of humanis predicted by the system by means of data collected through sensors, thus human can enjoy automated sophisticated livingenvironment. The need of human is detected, analyzed and act based on the information collected by sensors. Particularlythe need is predicted only by recognizing the human activity. The human activity is recognized by means of efficientmachine learning system using data collected by ambient sensors, fixed in all daily usable things and wearable sensorsworn by the human who is under monitoring. The aim of creating this prototype is to develop automated machine learningsystem that does not need any manual interpretation for decision making. Thus the proposed machine learning system isbased on Adjustable Fuzzy Clustering (AFC) algorithm, for data grouping to ease the job of classification system andFuzzy Neural Network (FNN), for supporting incremental learning. This proposed system resembles human intelligence inmaking accurate decision even in uncertain situation. By the implementation of this system shows higher accuracy ofrecognizing human activity even with large data from different sensors
关键词：Machine Learning; Adjustable Fuzzy Clustering; Fuzzy Neural Network; Human Intelligence; Uncertainty;Smart Environment