SAHAANN: A NOVEL EVOLUTIONARY ARTIFICIAL NEURAL NETWORK FOR IMPROVED FINANCIAL TIME SERIES FORECASTING

SAHAANN: A NOVEL EVOLUTIONARY ARTIFICIAL NEURAL NETWORK FOR IMPROVED FINANCIAL TIME SERIES FORECASTING

Here, we introduce SAHAANN, a new kind of hybrid forecasting model that combines ANN with SAHA, a recently created meta-heuristic, and other artificial neural network (ANN) techniques. Optimizing the ANN's weights and biases is what SAHA does. We tested this concept by simulating two popular st...

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Bibliographic Details
Main Authors: Abdul Khadeer, Vanaparthi Kiranmai, B. Suvarnamukhi, Ayaz Mohiuddin, Balika Mahesh, P M Suresh, J Arthy, Sasikumar A N, Sudersan Behera, Mohd Ayaz Uddin
Format: Article
Language:English
Published: University of Kragujevac 2025-03-01
Series:Proceedings on Engineering Sciences
Subjects:
artificial neural network
set algebra-based heuristic algorithm
fireworks algorithm
chemical reaction optimization
stock forecasting
financial time series forecasting
Online Access:https://pesjournal.net/journal/v7-n1/66.pdf
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