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International Conference on Soft Computing (2019 :)

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Soft computing for problem solving 2019 = proceedings of SocProS 2019.. Volume 1 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Soft computing for problem solving 2019/ edited by Atulya K. Nagar ... [et al.].
Reminder of title:	proceedings of SocProS 2019.
remainder title:	SocProS 2019
other author:	Nagar, Atulya K.
corporate name:	International Conference on Soft Computing
Published:	Singapore :Springer Singapore : : 2020.,
Description:	xi, 354 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Soft computing - Congresses. -
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 2019proceedings of SocProS 2019.Volume 1 /[electronic resource] :SocProS 2019edited by Atulya K. Nagar ... [et al.]. - Singapore :Springer Singapore :2020. - xi, 354 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.11382194-5357 ;. - Advances in intelligent systems and computing ;v.1138..

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:

606821
Soft computing
--Congresses.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

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505 0 $a 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.
520 $a 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.
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950 $a Intelligent Technologies and Robotics (Springer-42732)