Neural Network Fundamentals

by Barmpoutis, A.

Chapter 7 In Business Analytics: An Introduction, J. Liebowitz (ed.), January, 2014, pp. 179-202.

Category:

Description

The learning objectives of this chapter are the following: The reader will understand the strengths and limitations of various types of artificial neural networks. Several representative neural network algorithms will be presented and discussed in detail. Practical applications of neural networks will be explored by the reader through a set of exercises at the end of the chapter.

Additional information

Author

Barmpoutis, A.

Journal

Chapter 7 In Business Analytics: An Introduction, J. Liebowitz (ed.)

Publisher

Auerbach Publishers, Taylor & Francis Group

Year

2014

Month

January

Pages

179-202

URL

https://www.routledge.com/books/details/9781466596092/

Citation

Citation

Barmpoutis, A., 2014. Neural Network Fundamentals. Chapter 7 In Business Analytics: An Introduction, J. Liebowitz (ed.), pp. 179-202.

BibTex

@article{digitalWorlds:144,
author = {Barmpoutis, A.},
title = {Neural Network Fundamentals},
journal = {Chapter 7 In Business Analytics: An Introduction, J. Liebowitz (ed.)},
month = {January},
year = {2014},
pages = {179-202}
}