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Hierarchical modular granular neural...

Sanchez, Daniela.

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Hierarchical modular granular neural networks with fuzzy aggregation

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hierarchical modular granular neural networks with fuzzy aggregation/ by Daniela Sanchez, Patricia Melin.
Author:	Sanchez, Daniela.
other author:	Melin, Patricia.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	viii, 101 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Background and Theory -- Proposed Method -- Application to Human Recognition -- Experimental Results -- Conclusions.
Contained By:	Springer eBooks
Subject:	Granular computing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28862-8
ISBN:	9783319288628$q(electronic bk.)

Hierarchical modular granular neural networks with fuzzy aggregation
Sanchez, Daniela.

Hierarchical modular granular neural networks with fuzzy aggregation[electronic resource] /by Daniela Sanchez, Patricia Melin. - Cham :Springer International Publishing :2016. - viii, 101 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Introduction -- Background and Theory -- Proposed Method -- Application to Human Recognition -- Experimental Results -- Conclusions.

In this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approach applied in two levels. The techniques used and combined in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC) approach, thus resulting in a new concept of MNNs; modular granular neural networks (MGNNs) In addition fuzzy logic (FL) and hierarchical genetic algorithms (HGAs) are techniques used in this research work to improve results. These techniques are chosen because in other works have demonstrated to be a good option, and in the case of MNNs and HGAs, these techniques allow to improve the results obtained than with their conventional versions; respectively artificial neural networks and genetic algorithms.

ISBN: 9783319288628$q(electronic bk.)

Standard No.: 10.1007/978-3-319-28862-8doiSubjects--Topical Terms:

590271
Granular computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Hierarchical modular granular neural networks with fuzzy aggregation
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100 1 $a Sanchez, Daniela. $3 2182934
245 1 0 $a Hierarchical modular granular neural networks with fuzzy aggregation $h [electronic resource] / $c by Daniela Sanchez, Patricia Melin.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a viii, 101 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a Introduction -- Background and Theory -- Proposed Method -- Application to Human Recognition -- Experimental Results -- Conclusions.
520 $a In this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approach applied in two levels. The techniques used and combined in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC) approach, thus resulting in a new concept of MNNs; modular granular neural networks (MGNNs) In addition fuzzy logic (FL) and hierarchical genetic algorithms (HGAs) are techniques used in this research work to improve results. These techniques are chosen because in other works have demonstrated to be a good option, and in the case of MNNs and HGAs, these techniques allow to improve the results obtained than with their conventional versions; respectively artificial neural networks and genetic algorithms.
650 0 $a Granular computing. $3 590271
650 0 $a Neural networks (Computer science) $3 532070
650 0 $a Genetic algorithms. $3 533907
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
700 1 $a Melin, Patricia. $3 855558
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a SpringerBriefs in applied sciences and technology. $3 1565541
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28862-8
950 $a Engineering (Springer-11647)