A comparison of different classifiers in valence and arousal detection using the DEAP database for EEG

Implementation of an online sequential extreme learning machine with kernels for nonstationary time series prediction.

Source code for the Diploma Thesis "Evaluation of Extreme Learning Machine as Channel Equalizer for Color-Shift Keying-Based Visible Light Communication Systems Employed in Underground Mining Scenarios", for the fulfillment of the Electrical Engineer Professional Title at the Universidad de Chile.

Detection of Schizophrenia using Extreme Learning Machine

This project automatically predict the modulation scheme of received RF signal without any prior information

Extreme Learning Machine Tutorial

Simple single layered ANN trained using closed-form solutions and ELM method

In this project it is used a Machine Learning model based on a method called Extreme Learning, with the employment of L2-regularization. In particular, a comparison was carried out between: (A1) which is a variant of incremental extreme learning machine that is QRIELM and (A2) which is a standard momentum descent approach, applied to the ELM.

Implementação da Rede Neural Função base radial (FBR, ou RBF do inglês Radial base function) proposta no Projeto prático 6.5 do livro "Redes Neurais Artificiais para engenharia e ciências aplicadas" do autor Ivan Nunes da Silva.

Final Project for Bacherol in Industrial Engineering to UPV, Valencia, Spain.

Exercises and assignments made during a Computational Intelligence class at Federal University Of Ceará.

A Neural Network from scratch (Extreme Learning Machine), trained on MNIST (97% accuracy).

In this paper, we propose two novel time-efficient formulations of the Twin Extreme Learning Machine, which only require the solution of systems of linear equations for obtaining the final classifier. In this sense, they can combine the benefits of the Twin Support Vector Machine and standard Extreme Learning Machine in the true sense.

Implementação da ELM (Extreme Learning Machine) .