國立高雄大學圖資館 |

Language: English

Back

New backpropagation algorithm with t...

Gaxiola, Fernando.

New backpropagation algorithm with type-2 fuzzy weights for neural networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	New backpropagation algorithm with type-2 fuzzy weights for neural networksby Fernando Gaxiola, Patricia Melin, Fevrier Valdez.
Author:	Gaxiola, Fernando.
other author:	Melin, Patricia.
Published:	Cham :Springer International Publishing :2016.
Description:	ix, 102 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Back propagation (Artificial intelligence)
Online resource:	http://dx.doi.org/10.1007/978-3-319-34087-6
ISBN:	9783319340876$q(electronic bk.)

New backpropagation algorithm with type-2 fuzzy weights for neural networks
Gaxiola, Fernando.

New backpropagation algorithm with type-2 fuzzy weights for neural networks[electronic resource] /by Fernando Gaxiola, Patricia Melin, Fevrier Valdez. - Cham :Springer International Publishing :2016. - ix, 102 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Introduction -- Theory and Background -- Problem Statement an Development -- Simulations and Results -- Conclusions.

ISBN: 9783319340876$q(electronic bk.)

Standard No.: 10.1007/978-3-319-34087-6doiSubjects--Topical Terms:

750066
Back propagation (Artificial intelligence)

LC Class. No.: Q325.78

Dewey Class. No.: 006.31

New backpropagation algorithm with type-2 fuzzy weights for neural networks
LDR:01151nmm a2200313 a 4500 001 490592
003 DE-He213
005 20161124165403.0
006 m d
007 cr nn 008maaau
008 170118s2016 gw s 0 eng d
020 $a 9783319340876$q(electronic bk.)
020 $a 9783319340869$q(paper)
024 7 $a 10.1007/978-3-319-34087-6 $2 doi
035 $a 978-3-319-34087-6
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.78
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.31 $2 23
090 $a Q325.78 $b .G284 2016
100 1 $a Gaxiola, Fernando. $3 750064
245 1 0 $a New backpropagation algorithm with type-2 fuzzy weights for neural networks $h [electronic resource] / $c by Fernando Gaxiola, Patricia Melin, Fevrier Valdez.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a ix, 102 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in applied sciences and technology, $x 2191-530X
505 0 $a Introduction -- Theory and Background -- Problem Statement an Development -- Simulations and Results -- Conclusions.
650 0 $a Back propagation (Artificial intelligence) $3 750066
650 0 $a Neural networks (Computer science) $3 181982
650 0 $a Fuzzy automata. $3 266098
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
700 1 $a Melin, Patricia. $3 275557
700 1 $a Valdez, Fevrier. $3 750065
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in applied sciences and technology. $3 557662
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-34087-6
950 $a Engineering (Springer-11647)