A hyper-heuristic based reinforcement-learning algorithm to train feedforward neural networks

A hyper-heuristic based reinforcement-learning algorithm to train feedforward neural networks

Artificial Neural Networks (ANNs) offer unique opportunities in numerous research fields. Due to their remarkable generalization capabilities, they have grabbed attention in solving challenging problems such as classification, function approximation, pattern recognition and image processing that can...

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Bibliographic Details
Main Authors: Fehmi Burcin Ozsoydan, İlker Gölcük
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Engineering Science and Technology, an International Journal
Subjects:
Artificial neural networks
Machine learning
Hyper-heuristics
Particle swarm optimization
Flower pollination algorithm
Differential evolution algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098622001707

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http://www.sciencedirect.com/science/article/pii/S2215098622001707

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