Research Article
Classification of Eeg Signals Based on Different Motor Movement Using Multi-layer Perceptron Artificial Neural Network
Faculty of Electrical Engineering, Universiti Teknologi Mara (UiTM), 40450 Shah Alam, Selangor, Malaysia
Haryanti Norhazman
Faculty of Electrical Engineering, Universiti Teknologi Mara (UiTM), 40450 Shah Alam, Selangor, Malaysia
Norliza Zaini
Faculty of Electrical Engineering, Universiti Teknologi Mara (UiTM), 40450 Shah Alam, Selangor, Malaysia
Maizura Sani
Faculty of Electrical Engineering, Universiti Teknologi Mara (UiTM), 40450 Shah Alam, Selangor, Malaysia
Yousra EL HAJJI Reply
Thank you so much for all theses informatio. Please can you send me your matlab code?
Jessica Grande Reply
Thanks a lot for the information, just have a few questions, Their targets that you use in you ANN is a binary target?, and the second questions is, which architecture did you use?, i did not understand when you say that used different unit hidden layers, how many hidden layers did you used, and if you used the same transfer function in all layers
Editor
Thank you, Jessica, for your interest in the research article titled "Classification of EEG Signals Based on Different Motor Movement Using Multi-layer Perceptron Artificial Neural Network." We appreciate your questions regarding the details of our neural network architecture.
We recommend referring to the full article for a more comprehensive understanding of the neural network architecture and its specific configuration.