Analyzing Stock Price Using Artificial Neural Network

Padmavathi M; Rampur Srinath

Analyzing Stock Price Using Artificial Neural Network

Authors: Padmavathi M, Rampur Srinath

Unique Paper ID: 156037
Volume: 9
Issue: 2
PageNo: 614-617

Keywords: Machine learning Artificial Neural Networks Stock Price Prediction

Abstract:
Presently, a huge amount of money has been invested into stock markets due to its high demand in the running economy. All over the nation economies have been favored to be associated with their achievements in stock markets. Alongside,Â trading in today's world has become so popular and accessible to any common man and to investors who plan their capitals ahead. Artificial neural networks (ANN) is a branch of Artificial Intelligence (AI) which actually copies the biological neural signals, here helps us to predict samples required and prepare the information model. Neural networks in today's world areÂ considered as one the most important higher-ranking approaches to bifurcate incognito or unidentified samples in input methods that are required to which are needed for the inventory market. Many algorithms such as Feedforward neural networks were adopted to study the way humans make predictions and implement the same in the model.Â Backpropagation schooling algorithm provides additional support in the process.

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ISSN: 2349-6002
Volume: 9
Issue: 2
PageNo: 614-617

Analyzing Stock Price Using Artificial Neural Network

Available:https://ijirt.org/Article?manuscript=156037

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8.01 (Year 2024)

UGC Approved
Journal no 47859

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