國立虎尾科技大學 |

Language: English

Back

Hierarchical modular granular neural...

SpringerLink (Online service)

Hierarchical modular granular neural networks with fuzzy aggregation

Record Type:	Language materials, printed : 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.;
Contained By:	Springer eBooks
Subject:	Granular computing. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28862-8
ISBN:	9783319288628

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

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

683283
Granular computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Hierarchical modular granular neural networks with fuzzy aggregation
LDR:01952nam a2200325 a 4500 001 862562
003 DE-He213
005 20160824134111.0
006 m d
007 cr nn 008maaau
008 170720s2016 gw s 0 eng d
020 $a 9783319288628 $q (electronic bk.)
020 $a 9783319288611 $q (paper)
024 7 $a 10.1007/978-3-319-28862-8 $2 doi
035 $a 978-3-319-28862-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.S63
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a QA76.9.S63 $b S211 2016
100 1 $a Sanchez, Daniela. $3 1105992
245 1 0 $a Hierarchical modular granular neural networks with fuzzy aggregation $h [electronic resource] / $c by Daniela Sanchez, Patricia Melin.
260 $a Cham : $c 2016. $b Springer International Publishing : $b Imprint: Springer,
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 683283
650 0 $a Neural networks (Computer science) $3 528588
650 0 $a Genetic algorithms. $3 655041
650 1 4 $a Engineering. $3 561152
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 884110
700 1 $a Melin, Patricia. $3 678025
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $3 885514
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28862-8
950 $a Engineering (Springer-11647)

based on 0 review(s)

Multimedia

Reviews

Add a review and share your thoughts with other readers

Export

pickup library