國立高雄大學圖資館 |

Language: English

Back

Artificial neural networks and machi...

(1998 :)

Artificial neural networks and machine learning - ICANN 2019deep learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings.Part II /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial neural networks and machine learning - ICANN 2019edited by Igor V. Tetko ... [et al.].
Reminder of title:	deep learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings.
remainder title:	ICANN 2019
other author:	Tetko, Igor V.
corporate name:
Published:	Cham :Springer International Publishing :2019.
Description:	xxx, 807 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science)
Online resource:	https://doi.org/10.1007/978-3-030-30484-3
ISBN:	9783030304843$q(electronic bk.)

Artificial neural networks and machine learning - ICANN 2019deep learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings.Part II /
Artificial neural networks and machine learning - ICANN 2019deep learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings.Part II /[electronic resource] :ICANN 2019edited by Igor V. Tetko ... [et al.]. - Cham :Springer International Publishing :2019. - xxx, 807 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,117280302-9743 ;. - Lecture notes in computer science ;4891..

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

ISBN: 9783030304843$q(electronic bk.)

Standard No.: 10.1007/978-3-030-30484-3doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87 / .I57 2019

Dewey Class. No.: 006.32

Artificial neural networks and machine learning - ICANN 2019deep learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings.Part II /
LDR:01815nmm a2200349 a 4500 001 586785
003 DE-He213
005 20200701104643.0
006 m d
007 cr nn 008maaau
008 210326s2019 sz s 0 eng d
020 $a 9783030304843$q(electronic bk.)
020 $a 9783030304836$q(paper)
024 7 $a 10.1007/978-3-030-30484-3 $2 doi
035 $a 978-3-030-30484-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87 $b .I57 2019
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .I61 2019
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Artificial neural networks and machine learning - ICANN 2019 $h [electronic resource] : $b deep learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings. $n Part II / $c edited by Igor V. Tetko ... [et al.].
246 3 $a ICANN 2019
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxx, 807 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11728
490 1 $a Theoretical computer science and general issues
520 $a The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.
650 0 $a Neural networks (Computer science) $3 181982
650 0 $a Machine learning $v Congresses. $3 384498
650 0 $a Artificial intelligence $3 252958
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Computer Systems Organization and Communication Networks. $3 273709
650 2 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
650 2 4 $a Systems and Data Security. $3 274481
700 1 $a Tetko, Igor V. $3 851910
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Theoretical computer science and general issues. $3 822018
856 4 0 $u https://doi.org/10.1007/978-3-030-30484-3
950 $a Computer Science (SpringerNature-11645)