Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper


March Edition 2023

International Journal of Applied Information Systems solicits high quality original research papers for the March 2023 Edition of the journal. The last date of research paper submission is February 15, 2023.

The Applications and Prospects of Neural Networks

Yousef Abdullah Asiri. Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Yousef Abdullah Asiri
Download full text
  1. Yousef Abdullah Asiri. Article: The Applications and Prospects of Neural Networks. International Journal of Applied Information Systems 10(2):23-25, December 2015. BibTeX

    	author = "Yousef Abdullah Asiri",
    	title = "Article: The Applications and Prospects of Neural Networks",
    	journal = "International Journal of Applied Information Systems",
    	year = 2015,
    	volume = 10,
    	number = 2,
    	pages = "23-25",
    	month = "December",
    	note = "Published by Foundation of Computer Science (FCS), NY, USA"


On behalf of an extensive multiplicity and diversity of predicaments and for forecast and categorization of such tribulations or predicaments, “Neural network” is such a commanding authority. Neural network is far and wide brought into play for speech recognition and handwriting and in forecasting/prediction of stock market. Assortments of unusual fields and of applications are pointed out where exploitation of neural network bestows outstanding fallouts. From deliberated/measured or simulated data we can develop Neural network models. It can also be brought into play to progress the precision of contemporary on hand archetypes. In this article we will give a general outline of Neural network with its future prospects.


  1. “J. Zuraada”, “Introduction to A.I neural systems,” Mumbai, Jaico, 2002.
  2. “Gaavriloov”, A.V. Hybrid Neural Network Based on Models of Multi-Layer Perceptron and Adaptive Resonance theory. 9th Korean-Russian Intl Symposium on Science and Technology, NSTU, Novosibirsk (2005).
  3. “K . Aanjaneeyul”, “Deep Blue Beats Kasparov in a Rematch: A Victory for Machine over Man,” Resonance July 1997.
  4. ”Ruupp .R”., “Components of a Silicon Compiler System,” VLSI 81 Conference, Academic Press, 1981.
  5. “”.
  6. “”.
  7. “K. Koozłowska”, Łuukowiak, K. Urbaański, “, “Application of an artificial neural network in the processing of output signals from a gas sensor with sol-gel-derived TiO2 film,” Materials Science-Poland, vol. 25, no. 2, 2007
  8. “’’.


Networks, Fuzzy Logic, Neural network