Applied Soft Computing: Techniques and Applications
暫譯: 應用軟體計算：技術與應用

Borah, Samarjeet, Panigrahi, Ranjit

Applied Soft Computing: Techniques and Applications
  • 出版商: Apple Academic Press
  • 出版日期: 2022-02-03
  • 售價: $5,810
  • 貴賓價: 9.5 折 $5,520
  • 語言: 英文
  • 頁數: 258
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 177463029X
  • ISBN-13: 9781774630297

    • 海外代購書籍(需單獨結帳)

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商品描述

Applied Soft Computing: Techniques and Applications explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book explores a variety of modern applications in soft computing, including bioinspired computing, reconfigurable computing, fuzzy logic, fusion-based learning, intelligent healthcare systems, bioinformatics, data mining, functional approximation, genetic and evolutionary algorithms, hybrid models, machine learning, meta heuristics, neuro fuzzy system, and optimization principles. The book acts as a reference book for AI developers, researchers, and academicians as it addresses the recent technological developments in the field of soft computing.

Soft computing has played a crucial role not only with the theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligent-based applications. Beginning with the basics of soft computing, this book deeply covers applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, meta heuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence.

This book is destined for a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

商品描述(中文翻譯)

《應用軟計算：技術與應用》探討了多種現代技術，這些技術處理估計模型並為複雜的現實問題提供解決方案。本書結合了軟計算的概念和實踐以及其他前沿研究領域，探索了軟計算的多種現代應用，包括生物啟發計算、可重構計算、模糊邏輯、融合學習、智能醫療系統、生物資訊學、數據挖掘、函數逼近、遺傳和進化算法、混合模型、機器學習、元啟發式、神經模糊系統和優化原則。本書作為人工智慧開發者、研究人員和學者的參考書，針對軟計算領域的最新技術發展進行了探討。

軟計算不僅在理論範疇中扮演了關鍵角色，還因其在設計各種專家系統和基於人工智慧的應用中的重要作用而受到廣泛關注。本書從軟計算的基本概念開始，深入涵蓋了軟計算在近似推理、人工神經網絡、貝葉斯網絡、大數據分析、生物資訊學、雲計算、控制系統、數據挖掘、函數逼近、模糊邏輯、遺傳和進化算法、混合模型、機器學習、元啟發式、神經模糊系統、優化、隨機搜索和群體智慧等領域的應用。

本書適合希望學習軟計算方法應用的廣泛讀者。對於使用軟計算技術和算法開發尖端基於人工智慧的應用的學者、研究人員、學生和機器學習專家來說，將會非常有用。

作者簡介

Samarjeet Borah, PhD, is Professor and Head of the Department of Computer Applications, SMIT, Sikkim Manipal University, Sikkim, India. Dr. Borah has carried out various funded projects from AICTE (GoI), DST-CSRI (GoI), etc. He has organized various workshops and conferences at national and international levels. Dr. Borah is involved with various book volumes and journals. He is the editor-in-chief of the book series Research Notes on Computing and Communication Sciences, published by Apple Academic Press. His areas of research are data mining, data science, and machine learning.

Ranjit Panigrahi, PhD, is Assistant Professor in the Department of Computer Applications at Sikkim Manipal University (SMU), Sikkim, India. His research interests are machine learning, pattern recognition, and wireless sensor networks. Dr. Panigrahi is actively involved in various national and international conferences of repute. He serves as a member of technical review committees for various international journals. He received his MTech in Computer Sciences and Engineering from Sikkim Manipal Institute of Technology and his PhD in Computer Applications from Sikkim Manipal University, India.

作者簡介(中文翻譯)

Samarjeet Borah, PhD, 是印度錫金曼尼帕爾大學（Sikkim Manipal University）計算機應用系的教授及系主任。Borah 博士曾執行多個由 AICTE（印度政府）、DST-CSRI（印度政府）等機構資助的項目。他在國內外舉辦了多場研討會和會議。Borah 博士參與了多本書籍和期刊的編輯工作。他是由 Apple Academic Press 出版的書系列 Research Notes on Computing and Communication Sciences 的主編。他的研究領域包括資料探勘、資料科學和機器學習。

Ranjit Panigrahi, PhD, 是印度錫金曼尼帕爾大學（Sikkim Manipal University, SMU）計算機應用系的助理教授。他的研究興趣包括機器學習、模式識別和無線感測器網路。Panigrahi 博士積極參與各種國內外知名會議，並擔任多本國際期刊的技術審查委員會成員。他在錫金曼尼帕爾科技學院獲得計算機科學與工程的碩士學位，並在印度錫金曼尼帕爾大學獲得計算機應用的博士學位。

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