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

紀錄類型:	書目-語言資料,印刷品 : 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:	Workshop on the Preservation of Stability under Discretization
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:	Data Structures and Information Theory. -
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. 34 .

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:

1211601
Data Structures and Information Theory.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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