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Figure 2.Flow Chart For Data Preprocessing & Training-Comparative Study Of Financial Time Series Prediction By Artificial Neural Network With Gradient Descent Learning

appsOther research productkeyboard_double_arrow_right Image 01 Feb 2012 English Publisher:Zenodo
Authors: Arka Ghosh;

doi: 10.5281/zenodo.1161103 , 10.5281/zenodo.1161104

Figure 2.Flow Chart For Data Preprocessing & Training-Comparative Study Of Financial Time Series Prediction By Artificial Neural Network With Gradient Descent Learning

Abstract

Methodology This paper develops an ANN based comparative predictive model for NASDAQ stock prediction. The first ANN model is developed with Multi-Layer Feed forward Network Architecture & the second model is developed with Recurrent Neural Network Architecture. In this paper gradient descent based back propagation learning algorithm is used for the supervised learning of the predictive network.

https://www.edusoft.ro/brain/index.php/brain/issue/view/21

Keywords

Feedforward Multilayer Artificial Neural Network, Gradient descent, Backpropagation, Financial Forecasting, Financial Timeseries

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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