Article ID Journal Published Year Pages File Type
4961474 Procedia Computer Science 2017 8 Pages PDF
Abstract

In this paper, we consider the construction of binary classifiers ensembles on the basis of unnormalized form of ANFIS models. We notice training performance boost due to simplified model structure. In addition, the unnormalized ANFIS architecture provides the ground for effective task parallel decomposition of training procedures.

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Physical Sciences and Engineering Computer Science Computer Science (General)
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Application of Unnormalized Neurostructural Models ANFIS for the Tasks of Binary Classification
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