Advances in Artificial Intelligence: Models, Optimization, and Machine Learning

Advances in Artificial Intelligence: Models, Optimization, and Machine Learning

Research & information: general
Mathematics & science

The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications.

Leon, Florin (editor)
Hulea, Mircea (editor)
Gavrilescu, Marius (editor)

https://directory.doabooks.org/handle/20.500.12854/87527

MDPI - Multidisciplinary Digital Publishing Institute

2022

Wahyuni

https://creativecommons.org/licenses/by/4.0/

Pdf

English

Textbooks

DOI
10.3390/books978-3-0365-4516-5

ISBN
9783036545158, 9783036545165