Advances in Computational Intelligence Systems: Contributions Presented at the 22nd UK Workshop on Computational Intelligence (Ukci 2023), September 6

Naik, Nitin, Jenkins, Paul, Grace, Paul

  • 出版商: Springer
  • 出版日期: 2024-02-01
  • 售價: $7,820
  • 貴賓價: 9.5$7,429
  • 語言: 英文
  • 頁數: 670
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031475070
  • ISBN-13: 9783031475078
  • 海外代購書籍(需單獨結帳)

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商品描述

This book comprises the papers presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), held at Aston University, Birmingham, the UK, during 6 to 8 September 2023. UKCI is the flagship AI conference of the UK and Europe held annually. In UKCI 2023, a total of 63 papers were received from 11 countries including the UK, India, Germany, China, Japan, Australia, Italy, Thailand, Turkey, Jordan and Saudi Arabia; of these, 50 were accepted for presentation. The review process was rigorous, wherein three reviews were provided for all papers, with some having four reviews. This book highlights the latest research developments in computational intelligence and its applications. It covers both conventional and advanced techniques in fuzzy systems, neural networks, evolutionary computation, machine learning, deep learning, federated learning, data mining, cognitive computing, intelligent robotics, optimization methods, hybrid methods, and applications of computational intelligence. The book offers a valuable reference guide for readers with expertise in computational intelligence or who are seeking a comprehensive and timely review of the latest trends in computational intelligence. Special emphasis is placed on novel methods and their use in a wide range of application areas, updating both academics and professionals on the state of the art.

商品描述(中文翻譯)

本書包含了於2023年9月6日至8日在英國伯明翰的阿斯頓大學舉行的第22屆英國計算智能研討會(UKCI 2023)上所發表的論文。UKCI是英國和歐洲的旗艦人工智慧會議,每年舉辦。在UKCI 2023中,共收到來自11個國家的63篇論文,包括英國、印度、德國、中國、日本、澳大利亞、義大利、泰國、土耳其、約旦和沙烏地阿拉伯;其中50篇被接受進行報告。審稿過程相當嚴謹,所有論文均提供三篇評審意見,部分論文則有四篇評審意見。本書突顯了計算智能及其應用的最新研究發展,涵蓋了模糊系統、神經網絡、演化計算、機器學習、深度學習、聯邦學習、資料挖掘、認知計算、智能機器人、優化方法、混合方法及計算智能應用等傳統與先進技術。本書為具備計算智能專業知識的讀者或尋求全面及及時回顧計算智能最新趨勢的讀者提供了寶貴的參考指南。特別強調新穎方法及其在廣泛應用領域中的使用,讓學術界和專業人士了解最新的技術狀況。

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