research
∙
09/07/2023
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism
Forecasting natural gas consumption, considering seasonality and trends,...
share
research
∙
11/11/2022
Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms
For many years, Evolutionary Algorithms (EAs) have been applied to impro...
research
∙
10/10/2022
Tracking changes using Kullback-Leibler divergence for the continual learning
Recently, continual learning has received a lot of attention. One of the...
research
∙
06/10/2022
Evolutionary Echo State Network: evolving reservoirs in the Fourier space
The Echo State Network (ESN) is a class of Recurrent Neural Network with...
research
∙
05/15/2018
Prediction of Facebook Post Metrics using Machine Learning
In this short paper, we evaluate the performance of three well-known Mac...
research
∙
03/20/2017
Empirical Analysis of the Necessary and Sufficient Conditions of the Echo State Property
The Echo State Network (ESN) is a specific recurrent network, which has ...
research
∙
09/15/2016
A Tutorial about Random Neural Networks in Supervised Learning
Random Neural Networks (RNNs) are a class of Neural Networks (NNs) that ...
research
∙
01/02/2015
An Empirical Study of the L2-Boost technique with Echo State Networks
A particular case of Recurrent Neural Network (RNN) was introduced at th...
research
∙
01/02/2015
An Experimental Analysis of the Echo State Network Initialization Using the Particle Swarm Optimization
This article introduces a robust hybrid method for solving supervised le...
research
∙
12/26/2012