Smart techniques for a smarter planet [electronic resource] : towards smarter algorithms / edited by Manoj Kumar Mishra ... [et al.].
- 其他作者：
- 其他題名：
- Studies in fuzziness and soft computing ;
- 出版： Cham : Springer International Publishing :Imprint: Springer 2019.
- 叢書名： Studies in fuzziness and soft computing,v.374
- 主題： Engineering. , Optical pattern recognition. , Artificial intelligence. , Mathematical optimization. , Computational Intelligence. , Pattern Recognition. , Artificial Intelligence. , Calculus of Variations and Optimal Control; Optimization.
- ISBN： 9783030031312 (electronic bk.) 、 9783030031305 (paper)
- URL：
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電子書(校內)
- 一般註：Intelligent Computational Techniques for the Better World 2020 -- Optimization of the cropping pattern using Cuckoo Search Technique -- A Review on Epileptic Seizure Detection and Prediction Using Soft Computing Techniques -- Deep learning architectures for Object Detection and Classification -- AI Powered Partially Parallelized Scheme for Multi Factor Authentication -- Performance Measures. E1084學校採購電子書
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讀者標籤：
- 系統號： 000274395 | 機讀編目格式
館藏資訊
This book is intended to provide a systematic overview of so-called smart techniques, such as nature-inspired algorithms, machine learning and metaheuristics. Despite their ubiquitous presence and widespread application to different scientific problems, such as searching, optimization and /or classification, a systematic study is missing in the current literature. Here, the editors collected a set of chapters on key topics, paying attention to provide an equal balance of theory and practice, and to outline similarities between the different techniques and applications. All in all, the book provides an unified view on the field on intelligent methods, with their current perspective and future challenges.
摘要註
This book is intended to provide a systematic overview of so-called smart techniques, such as nature-inspired algorithms, machine learning and metaheuristics. Despite their ubiquitous presence and widespread application to different scientific problems, such as searching, optimization and /or classification, a systematic study is missing in the current literature. Here, the editors collected a set of chapters on key topics, paying attention to provide an equal balance of theory and practice, and to outline similarities between the different techniques and applications. All in all, the book provides an unified view on the field on intelligent methods, with their current perspective and future challenges.
