Final Project for Bacherol in Industrial Engineering to UPV, Valencia, Spain.
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Updated
Feb 7, 2023 - MATLAB
Final Project for Bacherol in Industrial Engineering to UPV, Valencia, Spain.
As described in "Towards Full On-Tiny-Device Learning: Guided Search for a Randomly Initialized Neural Network"
Implementation of Learning Vector Quantization (LVQ) and Extreme Learning Machine (ELM) with Iris Dataset
An easy-to-use independent machine learning library for .net. It offers MLP models (including deep RVFL aka ELM) for common ML tasks as well as Reservoir Computer for efficiently solving ML tasks on time series data.
A Simple Extreme Learning Machine implementation in Scala With Breeze
Exercises and assignments made during a Computational Intelligence class at Federal University Of Ceará.
Extreme Learning Machines Framework with Python and TensorFlow
Taking causal inference to the extreme!
Implementação da ELM (Extreme Learning Machine) .
Algorithms proposed in the following paper: OLIVEIRA, Gustavo HFMO et al. Time series forecasting in the presence of concept drift: A pso-based approach. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. p. 239-246.
Extreme Learning Machine Tutorial
Implementation of paper: Rádli, R., & Czúni, L. (2023). Deep Randomized Networks for Fast Learning
This repository contains a Machine Learning project, implemented in python, named 'Crop Recommendation System using Extreme Learning Machine'.
Python implementation of ELM - with optimized speed on MKL-based platforms; Described in conference paper: Radu Dogaru, Ioana Dogaru, "Optimization of extreme learning machines for big data applications using Python", COMM-2018; Allows quantization of weight parameters in both layers and introduces a new and very effective hidden layer nonlinear…
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.
This is my project using Extreme Learning Machine (ELM) based on Guang-Bin Huang Paper
Notes from course of Computational Intelligence at Federal University of Ceará 2019.1
A Neural Network from scratch (Extreme Learning Machine), trained on MNIST (97% accuracy).
Extreme Learning Machine for image classification implemented using Cuda C++ and cuBLAS
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