Metaheuristic optimization in neural network model for seasonal data

Volume: 19, Issue: 6, Pages: 1892 - 1892
Published: Dec 1, 2021
Abstract
The use of metaheuristic optimization techniques in obtaining the optimal weights of neural network model for the time series was the main part of this research. The three optimization methods used as experiments were genetic algorithm (GA), particle swarm optimization (PSO), and modified bee colony (MBC). Feed forward neural network (FFNN) was the neural network (NN) architecture chosen in this research. The limitations and weaknesses of...
Paper Details
Title
Metaheuristic optimization in neural network model for seasonal data
Published Date
Dec 1, 2021
Volume
19
Issue
6
Pages
1892 - 1892
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