Skip to content
Research Article Open access CC BY 4.0

Survey on the Significance of Artificial Neural Network

Atheel Sabih Shaker, Maad M. Mijwil

Asian Journal of Research in Computer Science · pp. 66–72 · Published 26 Oct 2022

10.9734/ajrcos/2022/v14i4292

Abstract

The word "neural networks" has a strong connotation. It alludes to devices that resemble minds and may be laden with the Frankenstein mythos' science fantasy meanings. One of the top aims of this report is to deconstruct neural networks and demonstrate how they function. Although they do have much to do with minds, their research crosses over into other scientific disciplines, such as technology and math. While some numerical terminology is needed for quantified defining such laws, processes, and frameworks, the goal is to do this in a non-technical manner.

Neural network deep learning ANN CNN

References (27)

  1. 1 Chapter 12: What does the Anthropocene hold for citizenship? [DOI]
  2. 2 Has the Future Started? The Current Growth of Artificial Intelligence, Machine Learning, and Deep Learning [DOI]
  3. 3 Research Paper on Basic of Artificial Neural Network [DOI]
  4. 4 Use of Artificial Neural Network in Pattern Recognition
  5. 5 Optimal model for path loss predictions using feed-forward neural networks [DOI]
  6. 6 A Survey of Intrusion Detection Using Deep Learning in Internet of Things [DOI]
  7. 7 Solving the Lexicographic Multi-Objective Mixed-Integer Linear Programming Problem using branch-and-bound and grossone methodology [DOI]
  8. 8 RETRACTED ARTICLE: Evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray images [DOI]
  9. 9 Prediction of of heart diseases utilising support vector machine and artificial neural network [DOI]
  10. 10 Medical Image Classification for Coronavirus Disease (COVID-19) Using Convolutional Neural Networks [DOI]
  11. 11 Artificial neural networks and their business applications [DOI]
  12. 12 Predicting Roof Pressures on a Low-Rise Structure From Freestream Turbulence Using Artificial Neural Networks [DOI]
  13. 13 Artificial intelligence for COVID-19: A Short Article [DOI]
  14. 14 A Scoping Review of Machine Learning Techniques and Their Utilisation in Predicting Heart Diseases [DOI]
  15. 15 Sales forecasting using neural networks [DOI]
  16. 16 Economic forecasting : challenges and neural network solutions [DOI]
  17. 17 Detecting Programming Language from Source Code Using Bayesian Learning Techniques [DOI]
  18. 18 A Survey of Smart Buildings and Homes using Low-Power Wide-Area Network (LoRa WAN) [DOI]
  19. 19 The Most Common Heart Diseases and Their Influence on Human Life: A Mini-review [DOI]
  20. 20 Data Mining Application for Cyber Space Users Tendency in Blog Writing: A Case Study [DOI]
  21. 21 ELECTION RESULT FORECASTING USING TWO LAYER PERCEPTRON NETWORK
  22. 22 Information Retrieval System of Arabic Alphabetic Characters by Using Hidden Markov Model [DOI]
  23. 23 Participation Anticipating in Elections Using Data Mining Methods [DOI]
  24. 24 AN OVERVIEW OF PATTERN RECOGNITION [DOI]
  25. 25 DE-striping Augmented Images of Blood Cells using Deep Convolutional Neural Network [DOI]
  26. 26 Fully Automated Magnetic Resonance Detection and Segmentation of Brain using Convolutional Neural Network [DOI]
  27. 27 Artificial Neural Networks in Geospatial Analysis [DOI]

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

5

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.