Neural networks

3Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

Abstract

A neural network is a computing system made up of simple, highly interconnected processing elements that processes information by its dynamical state response to external inputs. This is also called connectionist systems, and neurocomputers or artificial neural systems. The interesting thing about neural networks is that they appear to be enormously useful in solving problems that more traditional systems have found quite intractable. In particular, neural networks have made strong advances in several traditional AI monster problems, including continuous speech recognition and synthesis, vision, pattern recognition, and autonomous vehicles.

Cite

CITATION STYLE

APA

Karnga, A. E. (1999). Neural networks. In Proceedings of the International Joint Conference on Neural Networks (Vol. 6, pp. 4419–4421). IEEE.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free