Using Boolean factors for the construction of an artificial neural networks-Reference-Cited by-同舟云学术

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Using Boolean factors for the construction of an artificial neural networks

Published:2018-10-03 Issue:8 Volume:47 Page:849-868
ISSN:0308-1079
Container-title:International Journal of General Systems
language:en
Short-container-title:International Journal of General Systems

Author:

Tiogning Kueti Lauraine¹²,Tsopze Norbert¹,Mbiethieu Cezar¹,Mephu-Nguifo Engelbert³,Fotso Laure Pauline¹

Affiliation:

1. IRD UMI 209 UMMISCO, University of Yaounde I, Yaounde, Cameroon

2. Department of Computer Engineering, National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon

3. CNRS, ENSMSE, LIMOS, Clermont Auvergne University, Clermont-Ferrand, France

Funder

University of Yaounde 1

CNRS

Publisher

Informa UK Limited

Subject

Computer Science Applications,Modelling and Simulation,Information Systems,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/03081079.2018.1524893

Reference44 articles.

1. Universal approximation bounds for superpositions of a sigmoidal function

2. From-below approximations in Boolean matrix factorization: Geometry and new algorithm

3. Discovery of optimal factors in binary data via a novel method of matrix decomposition

4. A new generic basis of “factual” and “implicative” association rules1

5. Frequent closed itemset based algorithms

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1. Boolean factor based community extraction from directed networks with the non reciprocal link relationship;Information Sciences;2021-08

2. A Novel Two-Stage Selection of Feature Subsets in Machine Learning;Engineering, Technology & Applied Science Research;2019-06-08

3. A Study of Boolean Matrix Factorization Under Supervised Settings;Formal Concept Analysis;2019

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