Artificial Neural Networks

View Sample PDF

Author(s): Steven Walczak (University of South Florida, USA)
Copyright: 2019
Pages: 14
Source title: Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7368-5.ch004

Keywords: Artificial Intelligence / Engineering Science Reference / Human-Computer Interaction / Social Sciences & Humanities

Purchase

View Artificial Neural Networks on the publisher's website for pricing and purchasing information.

Abstract

This chapter examines the history of artificial neural networks research through the present day. The components of artificial neural network architectures and both unsupervised and supervised learning methods are discussed. Although a step-by-step tutorial of how to develop artificial neural networks is not included, additional reading suggestions covering artificial neural network development are provided. The advantages and disadvantages of artificial neural networks for research and real-world applications are presented as well as potential solutions to many of the disadvantages. Future research directions for the field of artificial neural networks are presented.

The IRMA Community

Research IRM

Artificial Neural Networks

Purchase

Abstract

Related Content

IRMA Sponsors