Advanced search
Start date
Betweenand

On the optimization of convolutional neural networks using bat algorithm

Grant number: 16/11298-9
Support type:Scholarships abroad - Research Internship - Scientific Initiation
Effective date (Start): August 01, 2016
Effective date (End): August 31, 2016
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal researcher:Aparecido Nilceu Marana
Grantee:Bárbara Caroline Benato
Supervisor abroad: Xin-She Yang
Home Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
Research place: Middlesex University, England  
Associated to the scholarship:14/12593-9 - Convolution neural networks optimization and its application for facial expression recognition, BP.IC

Abstract

The problem of fine-tuning parameters in deep learning techniques has been considerably focused in the last years, since to hand-tune them is painful and prone to errors. In this proposal, we model the problem of adjusting parameters as an optimization task, since meta- heuristic techniques have obtained very interesting results in a number of problems. There is one inspired on the behavior of microbats that use echolocation to find their prey: the Bat Algorithm (BA) and we decided to evaluate its performance in the context of deep learning-based techniques and for face-based emotion recognition. Additionally, this proposal aims to bring together two research groups from leading universities and to allow an international experience for the student. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
Articles published in other media outlets (0 total):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Please report errors in scientific publications list by writing to: cdi@fapesp.br.