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 orange zinger tomato 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 users.In this paper, a novel cla

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