Soft Computing for Problem Solving 2019 : Proceedings of SocProS 2019 Volume 2
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
- First edition
- 1 recurso en línea (IX, 224 páginas) 131 ilustraciones, 77 ilustraciones a color
- Advances in Intelligent Systems and Computing 1139 2194-5357 Intelligent Technologies and Robotics (Springer-42732) .
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. .
9789811532870
10.1007/978-981-15-3287-0 doi
Soft Computing
Resolución de problemas
QA76.9.S63 / 2020 EB
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. .
9789811532870
10.1007/978-981-15-3287-0 doi
Soft Computing
Resolución de problemas
QA76.9.S63 / 2020 EB