Optimized Artificial Neural Network for Biosignals Classification Using Genetic Algorithm

Autor: Danilo Hernane Spatti, Fabio K. H. de Barros, María Eugenia Dajer, Victor Hideki Yoshizumi, Aron Alexandre Martins Lima

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

The artificial neural networks (ANNs) are increasingly being used to solve the problem of pattern recognition, but it is an arduous task for their designer to obtain the optimal topology to be used for ANN training since this is considered a very dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91cdd82e7e7c99a750e25dd08791e92a
https://doi.org/10.1007/s40313-019-00454-1

Classification of Hand Movements from EMG Signals using Optimized MLP

Autor: Victor Hideki Yoshizumi, Fabio Augusto Guidotti dos Santos, María Eugenia Dajer, Aron Alexandre Martins Lima, Fabio K. H. de Barros, Luisa Helena Bartocci Liboni, Rafael Martinelli de Araujo, Danilo Hernane Spatti

Publikováno v: IJCNN

The emergence of artificial neural networks (ANNs) caused a great revolution in the knowledge area of pattern-classification and contributed to the fast development of intelligent systems. For an ANN to be effective, its topology parameters must be s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::482774f404417a94f2d9620c30b4fdf6
https://doi.org/10.1109/ijcnn.2018.8489150