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Soft Computing for Problem Solving 2...
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Nagar, Atulya K.
Soft Computing for Problem Solving 2019 = Proceedings of SocProS 2019, Volume 1 /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Soft Computing for Problem Solving 2019 / edited by Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das.
Reminder of title:
Proceedings of SocProS 2019, Volume 1 /
other author:
Nagar, Atulya K.
Description:
XI, 354 p. 125 illus., 89 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-15-3290-0
ISBN:
9789811532900
Soft Computing for Problem Solving 2019 = Proceedings of SocProS 2019, Volume 1 /
Soft Computing for Problem Solving 2019
Proceedings of SocProS 2019, Volume 1 /[electronic resource] :edited by Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das. - 1st ed. 2020. - XI, 354 p. 125 illus., 89 illus. in color.online resource. - Advances in Intelligent Systems and Computing,11382194-5357 ;. - Advances in Intelligent Systems and Computing,335.
Self-Taught Learning: Image Classification Using Stacked Autoencoders -- Performance analysis of Whale Optimization Algorithm Based on Strategy Parameter -- Comparison of PSO and Sequential Search algorithms for improvisation of entropy based ear localization -- An upgraded differential evolution via memory based mechanism for economic dispatch -- Some Applications of Generalized Fuzzy gamma*-Closed Sets.-Multi-Headed Self-Attention based Hierarchical Model for Extractive Summarization.
This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods. .
ISBN: 9789811532900
Standard No.: 10.1007/978-981-15-3290-0doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Soft Computing for Problem Solving 2019 = Proceedings of SocProS 2019, Volume 1 /
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