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The Applications and Prospects of Neural Networks

Yousef Abdullah Asiri. Published in Artificial Intelligence

The Applications and Prospects of Neural Networks
International Journal of Applied Information Systems
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 10 Number 2
Authors: Yousef Abdullah Asiri
10.5120/ijais2015451470
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  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

    @article{key:article,
	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"
}

Abstract

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.

Reference

  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. “http://www.mathpages.com/home/kmath123.htm”.
  6. “http://www.tu-graz.ac.at/igi/maass/PNN.html”.
  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. “http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html’’.

Keywords

Networks, Fuzzy Logic, Neural network