Neural Network Models: A Basic Statistical Tool for Data analysis and Forecasting

  • Sola Stephen Maitanmi Babcock University, Ilisan Remo, Ogun State, Nigeria
  • Malasowe Bridget
  • Emuobonuvie Erhinyoja Andy
  • Adekunle Yinka
  • Gregory Onwodi
Keywords: Neural network, brain cognitive, modelling

Abstract

Neural network model is a model of brain’s cognitive process. Neural network originated as a model of how the brain works and has its beginnings in psychology. Today, neural network models are used to solve numerous problems associated with forecasting, pattern recognition, classification, manufacturing, medical diagnostic, signal processing, system control, checking, and modelling among others. This paper reveals the processes involved in using a neural network model in forecasting future events by effectively and efficiently utilizing extracted rules from trained neural networks and domain knowledge of the applied area. The structural method of operations and rules of extraction of neural networks were also discussed.

 

Author Biography

Sola Stephen Maitanmi, Babcock University, Ilisan Remo, Ogun State, Nigeria
Computer Science Dept.Assistant Lecturer
Published
2013-10-11
How to Cite
Maitanmi, S. S., Bridget, M., Andy, E. E., Yinka, A., & Onwodi, G. (2013). Neural Network Models: A Basic Statistical Tool for Data analysis and Forecasting. International Journal of Computer (IJC), 8(1), 1-7. Retrieved from https://ijcjournal.org/index.php/InternationalJournalOfComputer/article/view/190
Section
Articles