東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Machine learning and metaheuristics ...

Dulhare, Uma N.

Linked to FindBook

Google Book

Amazon

博客來

Machine learning and metaheuristics = methods and analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and metaheuristics/ edited by Uma N. Dulhare, Essam Halim Houssein.
Reminder of title:	methods and analysis /
other author:	Dulhare, Uma N.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xiii, 295 p. :ill., digital ;24 cm.
[NT 15003449]:	Biomedical imaging segmentation and classification framework based on soft computing techniques -- On the use of the interactive autodidactic school optimization algorithm for solving real-world engineering optimization problems -- Renewable energy optimization solutions using meta-heuristics methods -- Accelerating the arithmetic optimization algorithm by cuckoo search algorithm for solving global optimization problems -- Metaheuristic algorithms for the classification and prediction of skin lesions: a comprehensive review -- Bayesian consideration for labourer's job performance at home in the COVID-19 pandemic -- Fuzzy logic controller based off-grid solar water pumping system -- An efficient framework for enhancing the performance of biomedical data analysis -- Renewable energy optimization system using fuzzy logic -- An overview of optimization methods in renewable energy technologies -- Use of artificial intelligence and GIS technologies in healthcare services -- ANN and evolution algorithms in ML -- Machine learning and deep learning: essentials and approaches -- Predicting RNA mutations mechanism based on deep neural network -- Comparative analysis for prediction of diseases with feature extraction using machine learning classifiers -- Word sense disambiguation for Hindi language using LSTM neural network technique -- Automatic prediction of non-alcoholic liver disease using deep learning models -- Recent advances for enabling effective human interaction with cognitive robots.
Contained By:	Springer Nature eBook
Subject:	Machine learning. -
Online resource:	https://doi.org/10.1007/978-981-99-6645-5
ISBN:	9789819966455

Machine learning and metaheuristics = methods and analysis /
Machine learning and metaheuristicsmethods and analysis /[electronic resource] :edited by Uma N. Dulhare, Essam Halim Houssein. - Singapore :Springer Nature Singapore :2023. - xiii, 295 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

Biomedical imaging segmentation and classification framework based on soft computing techniques -- On the use of the interactive autodidactic school optimization algorithm for solving real-world engineering optimization problems -- Renewable energy optimization solutions using meta-heuristics methods -- Accelerating the arithmetic optimization algorithm by cuckoo search algorithm for solving global optimization problems -- Metaheuristic algorithms for the classification and prediction of skin lesions: a comprehensive review -- Bayesian consideration for labourer's job performance at home in the COVID-19 pandemic -- Fuzzy logic controller based off-grid solar water pumping system -- An efficient framework for enhancing the performance of biomedical data analysis -- Renewable energy optimization system using fuzzy logic -- An overview of optimization methods in renewable energy technologies -- Use of artificial intelligence and GIS technologies in healthcare services -- ANN and evolution algorithms in ML -- Machine learning and deep learning: essentials and approaches -- Predicting RNA mutations mechanism based on deep neural network -- Comparative analysis for prediction of diseases with feature extraction using machine learning classifiers -- Word sense disambiguation for Hindi language using LSTM neural network technique -- Automatic prediction of non-alcoholic liver disease using deep learning models -- Recent advances for enabling effective human interaction with cognitive robots.

This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.

ISBN: 9789819966455

Standard No.: 10.1007/978-981-99-6645-5doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / .M334 2023

Dewey Class. No.: 006.31

Machine learning and metaheuristics = methods and analysis /
LDR:03142nmm a2200337 a 4500 001 2335517
003 DE-He213
005 20231101192012.0
006 m d
007 cr nn 008maaau
008 240402s2023 si s 0 eng d
020 $a 9789819966455 $q (electronic bk.)
020 $a 9789819966448 $q (paper)
024 7 $a 10.1007/978-981-99-6645-5 $2 doi
035 $a 978-981-99-6645-5
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .M334 2023
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M149 2023
245 0 0 $a Machine learning and metaheuristics $h [electronic resource] : $b methods and analysis / $c edited by Uma N. Dulhare, Essam Halim Houssein.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xiii, 295 p. : $b ill., digital ; $c 24 cm.
490 1 $a Algorithms for intelligent systems, $x 2524-7573
505 0 $a Biomedical imaging segmentation and classification framework based on soft computing techniques -- On the use of the interactive autodidactic school optimization algorithm for solving real-world engineering optimization problems -- Renewable energy optimization solutions using meta-heuristics methods -- Accelerating the arithmetic optimization algorithm by cuckoo search algorithm for solving global optimization problems -- Metaheuristic algorithms for the classification and prediction of skin lesions: a comprehensive review -- Bayesian consideration for labourer's job performance at home in the COVID-19 pandemic -- Fuzzy logic controller based off-grid solar water pumping system -- An efficient framework for enhancing the performance of biomedical data analysis -- Renewable energy optimization system using fuzzy logic -- An overview of optimization methods in renewable energy technologies -- Use of artificial intelligence and GIS technologies in healthcare services -- ANN and evolution algorithms in ML -- Machine learning and deep learning: essentials and approaches -- Predicting RNA mutations mechanism based on deep neural network -- Comparative analysis for prediction of diseases with feature extraction using machine learning classifiers -- Word sense disambiguation for Hindi language using LSTM neural network technique -- Automatic prediction of non-alcoholic liver disease using deep learning models -- Recent advances for enabling effective human interaction with cognitive robots.
520 $a This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
650 0 $a Machine learning. $3 533906
650 0 $a Metaheuristics. $3 2206834
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Optimization. $3 891104
700 1 $a Dulhare, Uma N. $3 3505603
700 1 $a Houssein, Essam H. $3 3505973
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Algorithms for intelligent systems. $3 3443393
856 4 0 $u https://doi.org/10.1007/978-981-99-6645-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)