Are methods used to solve many problems that are too complex, highly non-linear, uncertain, incomplete, or non-stationary.
Published in Chapter:
An Overview of Applications of Artificial Intelligence Using Different Techniques, Algorithms, and Tools
Yadira Quiñonez (Universidad Autonoma de Sinaloa, Mexico)
Copyright: © 2021
|Pages: 23
DOI: 10.4018/978-1-7998-7552-9.ch015
Abstract
Technology is currently a crucial benchmark in any application area. In general, society is immersed in the era of digitalization; therefore, incorporating digital technology in different application areas has been more accessible. Nowadays, claiming that adopting artificial intelligence systems in any area is already an emerging need. In this chapter, several artificial intelligence techniques are presented, as well as algorithms and tools that have been used to provide a variety of solutions such as artificial neural networks, convolutional neural networks architecture, AI models, machine learning, deep learning, and bio-inspired algorithms focused mainly on ant colony optimization, response threshold models, and stochastic learning automata. Likewise, the main applications that use AI techniques are described, and the main trends in this discipline are mentioned. This chapter ends with a critical discussion of artificial intelligence advances.