Computational Sciences and Artificial Intelligence in Industry
Editat de Tero Tuovinen, Jacques Periaux, Pekka Neittaanmäkien Limba Engleză Hardback – 20 aug 2021
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Specificații
ISBN-13: 9783030707866
ISBN-10: 3030707865
Pagini: 292
Ilustrații: XV, 275 p. 94 illus., 71 illus. in color.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.61 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030707865
Pagini: 292
Ilustrații: XV, 275 p. 94 illus., 71 illus. in color.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.61 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
Textul de pe ultima copertă
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.
Caracteristici
Reports support vector machines in clusterwise linear regression Presents similarity solutions for condensation on a non-isothermal vertical plate Provides a second-order method with enriched hessian information for composite sparse optimization problems