Classification of Incomplete Data Based on Evidence Theory and an Extreme Learning Machine in Wireless Sensor Networks

Classification of Incomplete Data Based on Evidence Theory and an Extreme Learning Machine in Wireless Sensor Networks

In wireless sensor networks, the classification of incomplete data reported by sensor nodes is an open issue because it is difficult to accurately estimate the missing values. In many cases, the misclassification is unacceptable considering that it probably brings catastrophic damages to the data us...

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Bibliographic Details
Main Authors: Yang Zhang, Yun Liu, Han-Chieh Chao, Zhenjiang Zhang, Zhiyuan Zhang
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
classification
incomplete data
evidence theory
extreme learning machine
wireless sensor network
Online Access:http://www.mdpi.com/1424-8220/18/4/1046

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