| 書目名稱 | Handbook of Nature-Inspired and Innovative Computing | | 副標(biāo)題 | Integrating Classica | | 編輯 | Albert Y. Zomaya | | 視頻video | http://file.papertrans.cn/422/421732/421732.mp4 | | 概述 | First of its kind to address the connection between nature-inspired and traditional computing paradigms.Brings together a number of diverse chapters that normally do not appear in the same volume sinc | | 圖書封面 |  | | 描述 | .As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. ..This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.. | | 出版日期 | Book 2006 | | 關(guān)鍵詞 | Algorithms; algorithm; artificial neural network; bioinformatics; complex system; evolution; fuzzy; intelli | | 版次 | 1 | | doi | https://doi.org/10.1007/0-387-27705-6 | | isbn_softcover | 978-1-4419-4268-5 | | isbn_ebook | 978-0-387-27705-9 | | copyright | Springer-Verlag US 2006 |
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