東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Computational intelligence in machin...

ICCIML (Conference) (2023 :)

FindBook

Google Book

Amazon

博客來

Computational intelligence in machine learning = proceedings of the 3rd International Conference ICCIML 2023 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence in machine learning/ edited by Vinit Kumar Gunjan ... [et al.].
其他題名:	proceedings of the 3rd International Conference ICCIML 2023 /
其他題名:	ICCIML 2023
其他作者:	Gunjan, Vinit Kumar.
團體作者:	ICCIML (Conference)
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xiv, 586 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computational intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-96-4391-2
ISBN:	9789819643912

Computational intelligence in machine learning = proceedings of the 3rd International Conference ICCIML 2023 /
Computational intelligence in machine learningproceedings of the 3rd International Conference ICCIML 2023 /[electronic resource] :ICCIML 2023edited by Vinit Kumar Gunjan ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xiv, 586 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in electrical engineering,v. 14001876-1119 ;. - Lecture notes in electrical engineering ;v. 1400..

This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.

ISBN: 9789819643912

Standard No.: 10.1007/978-981-96-4391-2doiSubjects--Topical Terms:

704428
Computational intelligence
--Congresses.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Computational intelligence in machine learning = proceedings of the 3rd International Conference ICCIML 2023 /
LDR:02288nmm a2200349 a 4500 001 2413586
003 DE-He213
005 20250702130320.0
006 m d
007 cr nn 008maaau
008 260205s2025 si s 0 eng d
020 $a 9789819643912 $q (electronic bk.)
020 $a 9789819643905 $q (paper)
024 7 $a 10.1007/978-981-96-4391-2 $2 doi
035 $a 978-981-96-4391-2
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
090 $a Q342 $b .I15 2023
111 2 $a ICCIML (Conference) $n (3rd : $d 2023 : $c Hyderabad, India) $3 3789784
245 1 0 $a Computational intelligence in machine learning $h [electronic resource] : $b proceedings of the 3rd International Conference ICCIML 2023 / $c edited by Vinit Kumar Gunjan ... [et al.].
246 3 $a ICCIML 2023
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xiv, 586 p. : $b ill. (chiefly color), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
490 1 $a Lecture notes in electrical engineering, $x 1876-1119 ; $v v. 1400
520 $a This book features selected proceedings from the International Conference on Computational Intelligence in Machine Learning (ICCIML 2023). It covers the latest research trends and developments in various fields, including machine learning, smart cities, the Internet of Things (IoT), artificial intelligence, cyber-physical systems, cybernetics, data science, neural networks, and cognition, among others. The book also emphasizes the comprehensive nature of computational intelligence, artificial intelligence, machine learning, and deep learning by highlighting their roles in modeling, identification, optimization, prediction, forecasting, and controlling future intelligent systems. This volume serves as a valuable resource for researchers in both academia and industry, offering in-depth insights from fundamental research contributions. It focuses on methodological and application perspectives, enhancing the understanding of AI and ML approaches and their capabilities in addressing a diverse range of problems across various industries and real-world applications.
650 0 $a Computational intelligence $x Congresses. $3 704428
650 0 $a Machine learning $x Congresses. $3 576368
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Data Structures and Information Theory. $3 3382368
700 1 $a Gunjan, Vinit Kumar. $3 2131962
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in electrical engineering ; $v v. 1400. $3 3789785
856 4 0 $u https://doi.org/10.1007/978-981-96-4391-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)