Metaheuristics Algorithms for Medical Applications: Methods and Applications
Abdel-Basset, Mohamed, Mohamed, Reda, Elhoseny, Mohamed
- 出版商: Academic Press
- 出版日期: 2023-11-24
- 售價: $6,280
- 貴賓價: 9.5 折 $5,966
- 語言: 英文
- 頁數: 248
- 裝訂: Quality Paper - also called trade paper
- ISBN: 044313314X
- ISBN-13: 9780443133145
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相關分類:
Algorithms-data-structures
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相關主題
商品描述
Metaheuristics Algorithms for Medical Applications: Methods and Applications provides readers with the most complete reference for developing metaheuristics techniques with machine learning for solving biomedical problems. This book is organized to present a stepwise progression beginning with the basics of metaheuristics, leading into methods and practices, and concluding with advanced topics. The first section of this book presents the fundamental concepts of metaheuristics and machine learning and provides a comprehensive taxonomic view of metaheuristics methods according to a variety of criteria such as data type, scope, and method. The second section of this book explains how to apply metaheuristics techniques for solving large-scale biomedical problems, including analysis and validation under different strategies. The final portion of the book focuses on advanced topics in metaheuristics in four different applications. Readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in metaheuristics for biomedical science. This book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in metaheuristics, including mathematics, biomedical engineering, computer science, biological sciences, and clinicians in medical practice.
商品描述(中文翻譯)
《醫學應用的元啟發式演算法:方法與應用》為讀者提供了開發機器學習與元啟發式技術來解決生物醫學問題的最完整參考資料。本書組織有序,循序漸進地介紹了元啟發式的基礎知識,並深入探討了方法、實踐和高級主題。本書的第一部分介紹了元啟發式和機器學習的基本概念,並根據數據類型、範圍和方法等多種標準提供了元啟發式方法的全面分類視圖。本書的第二部分解釋了如何應用元啟發式技術來解決大規模生物醫學問題,包括在不同策略下的分析和驗證。本書的最後一部分聚焦於元啟發式在四個不同應用領域的高級主題。讀者將發現各種新的方法、方法和技術,以及廣泛的應用,展示了元啟發式在生物醫學科學中的關鍵概念。本書為各個科學領域的研究人員提供了一個領先的資源,包括數學、生物醫學工程、計算機科學、生物科學以及醫學實踐中的臨床醫生。