🕔 Call For Paper — Vol. 12  |  Issue 4  |  December 2026  |  Deadline: 20-Dec-2026
Track Paper Submit Paper Contact

Paper Details

Home › Archives › Paper Details
← Back to Issue
Vol. 5  No. 3 (2019) · Articles

AN ARTIFICIAL NEURAL NETWORK : REVIEW

Shantanu Varshney
Compucom Institute of Information Technology & Management, Jaipur , IN

Sourabh Mathur
Compucom Institute of Information Technology & Management, Jaipur , IN

Siddharth Singh
Compucom Institute of Information Technology & Management, Jaipur , IN

📅 Published: March 2019

Keywords: ANN, Feed-forward neural network, Radial basis function, Neuro-fuzzy neural networks, Neuro-fuzzy neural networks, ANN Characteristics, Application and Advantages.

📄 View / Download PDF ⬇ Download

Abstract

An artificial neural network (ANN) is an information processing paradigm, which is inspired by biological nervous system, such as the brain, process information. The value of artificial neural network (ANN) methods has been exhibited in the operative spectrum of applications in execution complex pattern credit and non-estimate approximations. ANNs approaches are also used in the software increase process, because it is a multifaceted environment in which there are many common related influences affecting development efforts and efficiency. ANN offers a very exciting option and other requests that can play an significant role in the ground of today's computer science.

How to Cite

Shantanu Varshney, Sourabh Mathur, Siddharth Singh, “AN ARTIFICIAL NEURAL NETWORK : REVIEW,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 5, no. 3, pp. 532-536, March 2019.

References

NA

🔒 Content is protected — © IJTIMES