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Soft Computing for Problem Solving 2019 : Proceedings of SocProS 2019 . Volume 2 / 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; 1139); (Intelligent Technologies and Robotics (Springer-42732)).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2020Edition: First edition.Description: 1 recurso en línea (IX, 224 páginas) : 131 ilustraciones, 77 ilustraciones a color.ISBN: 9789811532870.Subject: Soft Computing | Resolución de problemasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm -- Development of Fuzzy Knowledge Based System for Water Quality Assessment in River Ganga -- A Hybrid Framework for Fire Outbreak Detection Based on Interval Type-2 Fuzzy Logic and Flower Pollination Algorithm -- Using convolutional neural networks to predict colon cancer patients survival -- An Array P system Based on a Variant of Pure 2D Context-free Grammars -- Predictions of weekly slope movements using moving-average and neural-network methods: A case-study in Chamoli, India.
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.26062041
Total holds: 0

Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm -- Development of Fuzzy Knowledge Based System for Water Quality Assessment in River Ganga -- A Hybrid Framework for Fire Outbreak Detection Based on Interval Type-2 Fuzzy Logic and Flower Pollination Algorithm -- Using convolutional neural networks to predict colon cancer patients survival -- An Array P system Based on a Variant of Pure 2D Context-free Grammars -- Predictions of weekly slope movements using moving-average and neural-network methods: A case-study in Chamoli, India.

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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