CFP last date
01 May 2024
Call for Paper
June Edition
CAE solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 01 May 2024

Submit your paper
Know more
Reseach Article

An Analysis of Progressive Applications of Neural Networks and Artificial Intelligence

by Aiman J. Albarakati
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 7
Year of Publication: 2015
Authors: Aiman J. Albarakati
10.5120/cae-1618

Aiman J. Albarakati . An Analysis of Progressive Applications of Neural Networks and Artificial Intelligence. Communications on Applied Electronics. 1, 7 ( May 2015), 47-50. DOI=10.5120/cae-1618

@article{ 10.5120/cae-1618,
author = { Aiman J. Albarakati },
title = { An Analysis of Progressive Applications of Neural Networks and Artificial Intelligence },
journal = { Communications on Applied Electronics },
issue_date = { May 2015 },
volume = { 1 },
number = { 7 },
month = { May },
year = { 2015 },
issn = { 2394-4714 },
pages = { 47-50 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume1/number7/349-1618/ },
doi = { 10.5120/cae-1618 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T18:37:49.398101+05:30
%A Aiman J. Albarakati
%T An Analysis of Progressive Applications of Neural Networks and Artificial Intelligence
%J Communications on Applied Electronics
%@ 2394-4714
%V 1
%N 7
%P 47-50
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Since the late 1980's there have been rehabilitated research exertion out-and-out committed to neural networks (NN). The current or at hand curiosity is basically just because of the intricate and complex dilemma's tackled by artificial intelligence (A. I), and for the reason of the delving indulgent of how the brain functions work, the topical expansions in hypothetical models/prototypes, algorithms and technologies. One inspiration of NN research is the need to construct an innovative class of prevailing computers to get to the bottom of an assortment of defies that has demonstrated to be extremely complicated with conformist computers. An additional impetus is the wish for constructing cognitive models that will be able to be dish up as another way to A. I. In this research article we see the sights of the applications of NN and A. I and endow with an indication of this particular field, where the NN and A. I are independently brought into play and in addition where collectively employed and also have a glimpsed over their significant roles in different areas.

References
  1. "R,Knight & B Nair", "Artificial Intelligence", TMH Publication
  2. "J. M . Zurada", "Introduction to Artificial Neural System"", Jaico publishing house.
  3. "N. J Nilsson", American Association for Artificial Intelligence" AI magazine 2005.
  4. http://www. differencebetween. com/differencebetween- strong-ai-and-vs-weak-ai/
  5. "J M . Zurada", Introduction to Artificial Neural System", Jaico publishing house.
  6. "E. F Anderson". , "Playing smart artificial intelligence in computer games" The National Centre for Computer Animation (NCCA) Bournemouth University UK.
  7. "Yuanfeng Yang et al". "Trajectory Analysis Using Spectral Clustering and Sequence Pattern Mining" Journal of Computational Information Systems 2012.
  8. "N. Johnson", "Learning the distribution of object trajectories for event recognition "School of Computer Studies, The University of Leeds, Leeds LS2 9JT, UK 1999.
  9. "L. Gao" et al. "Automatic Learning of Semantic Region Models for Event Recognition" School of Computer. Sci. & Technol. , Beihang Univ. , Beijing 2009
  10. "W. Hu, T. Tan", Senior Member, IEEE "A Hierarchical Self-Organizing Approach for Learning the Patterns of Motion Trajectories" IEEE transactions on neural networks, vol. 15, no. 1, January 2004.
  11. http://www. bbc. co. uk/bitesize/intermediate2/computing/artificial_intelligence/applications_and_uses_of_artificial_intelligence/revision/1/
Index Terms

Computer Science
Information Sciences

Keywords

A.I Neural networks Fuzzy Logics