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Soft Computing for Problem Solving 2019 : Proceedings of SocProS 2019 . Volume 1 / edited by Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das

Contributor(s): Nagar, Atulya K, editor | Deep, Kusum, editor | Bansal, Jagdish Chand, editor | Das, Kedar Nath, editor | SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (Advances in Intelligent Systems and Computing, 2194-5357; 1138); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2020Edition: First edition.Description: 1 recurso en línea (XI, 354 páginas) : 125 ilustraciones, 89 ilustraciones a color.ISBN: 9789811532900.Subject: Soft Computing | Resolución de problemasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9.S63 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook.26062035
Total holds: 0

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. .

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