CORDIS Project
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This project introduces Neural CO-evolutionary Learning, a deep learning methodology that combines co-evolutionary algorithms with recurrent neural networks. It aims to enhance the efficiency of neural networks for applications in cybersecurity and smart cities by optimizing their architecture automatically.
Nowadays, intelligent systems based on deep learning (DL) are latent in many aspects of our society.
But the use of inadequate neural networks (NNs) architectures and the high computational costs required by DL limit its widespread use.
Thus, advanced optimization methods (such as metaheuristics) may be applied to improve common DL methodologies, which in general use gradient based methods and apply complex engineering by hand.This project aims to define an efficient DL methodology, which is nam…
UNIVERSIDAD DE MALAGA
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United States, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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