Stock Price Forecasting using Convolutional Neural Networks and Optimization Techniques

Forecasting the correct stock price is intriguing and difficult for investors due to its irregular, inherent dynamics, and tricky nature. Convolutional neural networks (CNN) have impressive performance in forecasting stock prices. One of the most crucial tasks when training a CNN on a stock dataset...

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Veröffentlicht in:	International journal of advanced computer science & applications 2022, Vol.13 (11)
Hauptverfasser:	Korade, Nilesh B., Zuber, Mohd
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Datasets Forecasting Heuristic methods Neural networks Optimization techniques Particle swarm optimization Pricing Training
Online-Zugang:	Volltext
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