東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Artificial neural networks and machi...

International Conference on Artificial Neural Networks (European Neural Network Society) (2019 :)

Linked to FindBook

Google Book

Amazon

博客來

Artificial neural networks and machine learning - ICANN 2019 = deep 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 2019/ edited 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:	International Conference on Artificial Neural Networks (European Neural Network Society)
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) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-30484-3
ISBN:	9783030304843

Artificial neural networks and machine learning - ICANN 2019 = deep 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 ;11728..

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

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

582186
Neural networks (Computer science)
--Congresses.

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

Dewey Class. No.: 006.32

Artificial neural networks and machine learning - ICANN 2019 = deep learning : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019 : proceedings.. Part II /
LDR:01815nmm a2200349 a 4500 001 2242773
003 DE-He213
005 20200701104643.0
006 m d
007 cr nn 008maaau
008 211207s2019 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 $a International Conference on Artificial Neural Networks (European Neural Network Society) $n (28th : $d 2019 : $c Munich, Germany) $3 3414053
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) $x Congresses. $3 582186
650 0 $a Machine learning $x Congresses. $3 576368
650 0 $a Artificial intelligence $v Congresses. $3 606815
650 1 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Computer Systems Organization and Communication Networks. $3 891212
650 2 4 $a Information Systems and Communication Service. $3 891044
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Systems and Data Security. $3 898223
700 1 $a Tetko, Igor V. $3 3414054
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 11728. $3 3502280
830 0 $a Theoretical computer science and general issues. $3 3382501
856 4 0 $u https://doi.org/10.1007/978-3-030-30484-3
950 $a Computer Science (SpringerNature-11645)