Soft Computing for Problem Solving Proceedings of SocProS 2020, Volume 1 /

書目詳細資料
企業作者: SpringerLink (Online service)
其他作者: Tiwari, Aruna (Editor), Ahuja, Kapil (Editor), Yadav, Anupam (Editor), Bansal, Jagdish Chand (Editor), Deep, Kusum (Editor), Nagar, Atulya K. (Editor)
總結:XV, 795 p. 378 illus., 271 illus. in color.
text
語言:英语
出版: Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
版:1st ed. 2021.
叢編:Advances in Intelligent Systems and Computing, 1392
主題:
在線閱讀:https://doi.org/10.1007/978-981-16-2709-5
格式: 電子 圖書

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245 1 0 |a Soft Computing for Problem Solving  |h [electronic resource] :  |b Proceedings of SocProS 2020, Volume 1 /  |c edited by Aruna Tiwari, Kapil Ahuja, Anupam Yadav, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar. 
250 |a 1st ed. 2021. 
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490 1 |a Advances in Intelligent Systems and Computing,  |x 2194-5365 ;  |v 1392 
505 0 |a Swarm Programming using Multi-Verse Optimizer -- Muzzle Pattern based Cattle Identification Using Generative Adversarial Networks -- Diverse Sports Video Classification Using Large Space MPEG Features -- An Intelligent Method for Plastic Money Fraud Detection using Isolation Forest Classifier -- Mixed Differential Evolution and Genetic Algorithm Hybridization for Solving Global Optimization Problems -- Energy Neutral Classroom. 
520 |a This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. It brings together the researchers, engineers and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task. 
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