Innovations in Computational Intelligence: Best Selected Papers of the Third International Conference on REDSET 2016 (Studies in Computational Intelligence)
暫譯: 計算智慧的創新:第三屆國際REDSET會議2016最佳選擇論文集(計算智慧研究)

  • 出版商: Springer
  • 出版日期: 2017-11-13
  • 售價: $4,510
  • 貴賓價: 9.5$4,285
  • 語言: 英文
  • 頁數: 307
  • 裝訂: Hardcover
  • ISBN: 9811045542
  • ISBN-13: 9789811045547
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The present book includes a set of selected best papers from the 3rd International Conference on Recent Developments in Science, Engineering and Technology (REDSET 2016), held in Gurgaon, India, from 21 to 22 October 2016. The conference focused on the experimental, theoretical and application aspects of innovations in computational intelligence and provided a platform for the academicians and scientists. This book provides an insight into ongoing research and future directions in this novel, continuously evolving field. 

Many decades have been devoted to creating and refining methods and tools for computational intelligence such as Artificial Neural Networks, Evolutionary Computation, Fuzzy Logic, Computational Swarm Intelligence and Artificial Immune Systems. However, their applications have not yet been broadly disseminated. 

Computational intelligence can be used to provide solutions to many real-life problems, which could be translated into binary languages, allowing computers to process them. These problems, which involve various fields such as robotics, bioinformatics, computational biology, gene expression, cancer classification, protein function prediction, etc., could potentially be solved using computational intelligence techniques.

商品描述(中文翻譯)

本書包含了第三屆國際科學、工程與技術近期發展會議(REDSET 2016)中選出的最佳論文集,該會議於2016年10月21日至22日在印度古爾岡舉行。會議專注於計算智能創新在實驗、理論和應用方面的探討,並為學術界和科學家提供了一個平台。本書深入探討了這一新興且不斷發展的領域中的持續研究和未來方向。

數十年來,人們致力於創建和完善計算智能的方法和工具,如人工神經網絡(Artificial Neural Networks)、進化計算(Evolutionary Computation)、模糊邏輯(Fuzzy Logic)、計算群體智能(Computational Swarm Intelligence)和人工免疫系統(Artificial Immune Systems)。然而,它們的應用尚未得到廣泛的傳播。

計算智能可以用來提供許多現實問題的解決方案,這些問題可以轉換為二進制語言,使計算機能夠處理。這些問題涉及機器人技術、生物資訊學、計算生物學、基因表達、癌症分類、蛋白質功能預測等多個領域,潛在地可以使用計算智能技術來解決。