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Computational sciences and artificia...

Tuovinen, Tero.

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Computational sciences and artificial intelligence in industry = new digital technologies for solving future societal and economical challenges /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational sciences and artificial intelligence in industry/ edited by Tero Tuovinen, Jacques Periaux, Pekka Neittaanmaki.
其他題名:	new digital technologies for solving future societal and economical challenges /
其他作者:	Tuovinen, Tero.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xv, 275 p. :ill. (some col.), digital ;24 cm.
內容註:	Chapter 1. Co-development of Methodology, Applications,and Hardware in Computational Science and Artiﬁcial Intelligence -- Chapter 2. Novel Strategies for Data-driven Evolutionary Optimization -- Chapter 3. Artiﬁcial Intelligence and Computational Science -- Chapter 4. Supervised Learning and Applied Mathematics -- Chapter 5. Application of the Topological Gradient to Parsimonious Neural Networks -- Chapter 6. Generation of Error Indicators for Partial Diﬀerential Equations by Machine Learning Methods -- Chapter 7. Newton Method for Minimal Learning Machine.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-70787-3
ISBN:	9783030707873

Computational sciences and artificial intelligence in industry = new digital technologies for solving future societal and economical challenges /
Computational sciences and artificial intelligence in industrynew digital technologies for solving future societal and economical challenges /[electronic resource] :edited by Tero Tuovinen, Jacques Periaux, Pekka Neittaanmaki. - Cham :Springer International Publishing :2022. - xv, 275 p. :ill. (some col.), digital ;24 cm. - Intelligent systems, control and automation: science and engineering,v. 762213-8994 ;. - Intelligent systems, control and automation: science and engineering ;v. 76..

Chapter 1. Co-development of Methodology, Applications,and Hardware in Computational Science and Artiﬁcial Intelligence -- Chapter 2. Novel Strategies for Data-driven Evolutionary Optimization -- Chapter 3. Artiﬁcial Intelligence and Computational Science -- Chapter 4. Supervised Learning and Applied Mathematics -- Chapter 5. Application of the Topological Gradient to Parsimonious Neural Networks -- Chapter 6. Generation of Error Indicators for Partial Diﬀerential Equations by Machine Learning Methods -- Chapter 7. Newton Method for Minimal Learning Machine.

This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.

ISBN: 9783030707873

Standard No.: 10.1007/978-3-030-70787-3doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334 / .C66 2022

Dewey Class. No.: 006.3

Computational sciences and artificial intelligence in industry = new digital technologies for solving future societal and economical challenges /
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