Genetic Algorithm-Based Data Optimization for Efficient Transfer Learning in Convolutional Neural Networks: A Brain–Machine Interface Implementation

Genetic Algorithm-Based Data Optimization for Efficient Transfer Learning in Convolutional Neural Networks: A Brain–Machine Interface Implementation

In brain–machine interface (BMI) systems, the performance of trained Convolutional Neural Networks (CNNs) is significantly influenced by the quality of the training data. Another issue is the training time of CNNs. This paper introduces a novel approach by combining transfer learning and a Genetic A...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Goragod Pongthanisorn, Genci Capi
Format: Artykuł
Język:English
Wydane: MDPI AG 2024-01-01
Seria:Robotics
Hasła przedmiotowe:
brain–machine interface
convolutional neural networks
genetic algorithm
data selection
transfer learning
Dostęp online:https://www.mdpi.com/2218-6581/13/1/14

Internet

https://www.mdpi.com/2218-6581/13/1/14

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