JOIV : International Journal on Informatics Visualization
Vol 3, No 3 (2019)

Neural Network Techniques for Time Series Prediction: A Review

Muhammad Faheem Mushtaq (Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)
Urooj Akram (Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)
Muhammad Aamir (Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)
Haseeb Ali (Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)
Muhammad Zulqarnain (Universiti Tun Hussein Onn Malaysia, Johor, Malaysia)



Article Info

Publish Date
11 Aug 2019

Abstract

It is important to predict a time series because many problems that are related to prediction such as health prediction problem, climate change prediction problem and weather prediction problem include a time component. To solve the time series prediction problem various techniques have been developed over many years to enhance the accuracy of forecasting. This paper presents a review of the prediction of physical time series applications using the neural network models. Neural Networks (NN) have appeared as an effective tool for forecasting of time series.  Moreover, to resolve the problems related to time series data, there is a need of network with single layer trainable weights that is Higher Order Neural Network (HONN) which can perform nonlinearity mapping of input-output. So, the developers are focusing on HONN that has been recently considered to develop the input representation spaces broadly. The HONN model has the ability of functional mapping which determined through some time series problems and it shows the more benefits as compared to conventional Artificial Neural Networks (ANN). The goal of this research is to present the reader awareness about HONN for physical time series prediction, to highlight some benefits and challenges using HONN.

Copyrights © 2019






Journal Info

Abbrev

joiv

Publisher

Subject

Computer Science & IT

Description

JOIV : International Journal on Informatics Visualization is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of Computer Science, Computer Engineering, Information Technology and Visualization. The journal publishes state-of-art ...