A multiple kernel classification approach based on a Quadratic Successive Geometric Segmentation methodology with a fault diagnosis case-Reference-Cited by-同舟云学术

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A multiple kernel classification approach based on a Quadratic Successive Geometric Segmentation methodology with a fault diagnosis case

Published:2018-03 Issue: Volume:74 Page:209-216
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Honório Leonardo M.,Barbosa Daniele A.,Oliveira Edimar J.,Garcia Paulo A. Nepomuceno,Santos Murillo F.

Funder

UFJF

INERGE

TBE

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference55 articles.

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2. A context layered locally recurrent neural network for dynamic system identification;Coban;Eng Appl Artif Intell,2013

3. Power level control of the triga mark-ii research reactor using the multifeedback layer neural network and the particle swarm optimization;Coban;Ann Nucl Energy,2014

4. Deep learning in neural networks: an overview;Schmidhuber;Neural Netw,2015

5. Multimodal deep learning;Ngiam,2011

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