Description: Further DetailsTitle: Nature-Inspired Optimization AlgorithmsCondition: NewEAN: 9783110676068ISBN: 9783110676068Publisher: De GruyterFormat: HardbackRelease Date: 02/08/2021Item Height: 240mmItem Length: 170mmItem Weight: 421gContributor: Ashish Khanna (Edited by), Bao Le Nguyen (Edited by), Nhu Gia Nguyen (Edited by), Aditya Khamparia (Edited by)Language: EnglishSubtitle: Recent Advances in Natural Computing and Biomedical ApplicationsISBN-10: 3110676060Description: This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations Country/Region of Manufacture: DEBook Series: Intelligent Biomedical Data AnalysisGenre: Technology & EngineeringTopic: Medicine, Computing & InternetAuthor: Ashish KhannaRelease Year: 2021 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Nature-Inspired Optimization Algorithms
Title: Nature-Inspired Optimization Algorithms
EAN: 9783110676068
ISBN: 9783110676068
Release Date: 02/08/2021
Release Year: 2021
Item Height: 240mm
Contributor: Aditya Khamparia (Edited by)
Subtitle: Recent Advances in Natural Computing and Biomedical Applications
ISBN-10: 3110676060
Country/Region of Manufacture: DE
Genre: Technology & Engineering
Topic: Computing & Internet
Number of Pages: 168 Pages
Publication Name: Nature-Inspired Optimization Algorithms : Recent Advances in Natural Computing and Biomedical Applications
Language: English
Publisher: DE Gruyter Gmbh, Walter
Subject: Intelligence (Ai) & Semantics, Computer Science, General, Computer Vision & Pattern Recognition
Publication Year: 2021
Item Weight: 14.9 Oz
Type: Textbook
Author: Ashish Khanna
Subject Area: Mathematics, Computers
Item Length: 9.4 in
Item Width: 6.7 in
Series: Intelligent Biomedical Data Analysis Ser.
Format: Hardcover