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Machine learning and metaheuristics ...

Dulhare, Uma N.

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Machine learning and metaheuristics = methods and analysis /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and metaheuristics/ edited by Uma N. Dulhare, Essam Halim Houssein.
其他題名:	methods and analysis /
其他作者:	Dulhare, Uma N.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xiii, 295 p. :ill., digital ;24 cm.
內容註:	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
標題:	Machine learning. -
電子資源:	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 /
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