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Soft Computing for Problem Solving 2019 = Proceedings of SocProS 2019, Volume 2 /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Soft Computing for Problem Solving 2019 / edited by Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das.
其他題名:	Proceedings of SocProS 2019, Volume 2 /
其他作者:	Das, Kedar Nath.
面頁冊數:	IX, 224 p. 131 illus., 77 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-981-15-3287-0
ISBN:	9789811532870

Soft Computing for Problem Solving 2019 = Proceedings of SocProS 2019, Volume 2 /
Soft Computing for Problem Solving 2019 Proceedings of SocProS 2019, Volume 2 /[electronic resource] :edited by Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das. - 1st ed. 2020. - IX, 224 p. 131 illus., 77 illus. in color.online resource. - Advances in Intelligent Systems and Computing,11392194-5357 ;. - Advances in Intelligent Systems and Computing,335.

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. .

ISBN: 9789811532870

Standard No.: 10.1007/978-981-15-3287-0doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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