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Extreme learning machine with a deterministic assignment of hidden weights in two parallel layers.
Extreme learning machine (ELM) is a machine learning technique based on competitive single-hidden layer feedforward neural network (SLFN). However, traditional ELM and its variants are only based on random assignment of ...
Avaliação estatística de métodos de poda aplicados em neurônios intermediários da rede neural MLP
(2006-12-01)
There are several papers on pruning methods in the artificial neural networks area. However, with rare exceptions, none of them presents an appropriate statistical evaluation of such methods. In this article, we proved ...
Avaliação estatística de métodos de poda aplicados em neurônios intermediários da rede neural MLP
(2006-12-01)
There are several papers on pruning methods in the artificial neural networks area. However, with rare exceptions, none of them presents an appropriate statistical evaluation of such methods. In this article, we proved ...
Classification of Parkinson's disease patients based on spectrogram using local binary pattern descriptors
(2022)
Extreme learning machine is an algorithm that has shown a good performance facing classification and regression problems. It has gained great acceptance by the scientific community due to the simplicity of the model and ...
Classification of Parkinson's disease patients based on spectrogram using local binary pattern descriptors
(IOP Publishing, 2022)
Extreme learning machine is an algorithm that has shown a good performance
facing classi cation and regression problems. It has gained great acceptance by the scienti c
community due to the simplicity of the model and ...
Condition-based monitoring system for rolling element bearing using a generic multi-layer perceptron
(Sage Publications Ltd, 2015-12-01)
Rolling element bearings are critical mechanical components in rotating machinery and fault detection in the early stages of damage is important to prevent their malfunctioning and failure. Vibration monitoring is the most ...
Determinação do tamanho de nanopartículas de polimetacrilato de metila utilizando redes neurais artificiais
(Universidade Tecnológica Federal do ParanáFrancisco BeltraoBrasilEngenharia QuímicaUTFPR, 2018-06-15)
Artificial neural networks are computational systems that can be used to solve complex math and engineering problems, being mostly used in non-linear problems. Recently, the introduction of the artificial neural network ...