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29.408 Articles

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The Formula Study in Determining the Best Number of Neurons in Neural Network Backpropagation Architecture with Three Hidden Layers

Syaharuddin Syaharuddin, Fatmawati Fatmawati, Herry Suprajitno

The researchers conducted data simulation experiments, but they did so unstructured in determining the number of neurons in the hidden layer in the Artificial Neural Network Back-Propagation architecture. The researchers also used a general architecture c... see more

Neural Network | Backpropagation | 3-Layer Hidden | Number of Neurons

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) , 2022

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ALGORITHM OF NEURON NETWORKS MODIFICATION

O. I. Chumachenko

It is considered a problem of neuron network modification whose topology has been chosen previously as a result of optimization problem solution for given task. The proposed modification algorithm is based on two-stages procedure which consists of genetic... see more

Neuron networks | optimization problem | hybrid multicriteria evolutionary algorithm | method of steepest descent | algorithm of merging and growing

Electronics and Control Systems , 2018

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Traffic control system based on neuron networks

E. I. Chumachenko

The traffic control system based on neuron networks is considered. An accurate model of intersection is represented. It is determined the strategy of intersection traffic control using neural controller, which is based on classical neural network topologi... see more

Traffic control system | neuron networks | unidirectional multilayer perceptron

Electronics and Control Systems , 2014

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Design of hybrid neuron networks

O. I. Chumachenko

It is developed the procedure of hybrid neuron networks design. It is considered the possibility of use input signals of different types

Hybrid neuron networks | design | fuzzification | topology

Electronics and Control Systems , 2014

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Modelado de indicadores de operación de un gasificador downdraft por redes neuronales para biomasa Eichhornia Crassipes/Operational performance indicators of a downdraft gasifier through modeling by neural networks for biomass Eichhornia Crassipes

Eduardo Roberto Gutiérrez Gualotuña,Juan Carlos Almeida Mera,José Arzola Ruiz

En el trabajo se presentan resultados investigativos obtenidos por los autores en el modelado de indicadores de desempeño de la operación de instalaciones de gasificación de la biomasa con ayuda de redes neuronales artificiales, a partir de la clasificaci... see more

Revista CientÍfica de IngenierÍa Energética , 2019

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Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems

Paulo Vitor de Campos Souza, Augusto Junio Guimaraes, Vanessa Souza Araújo, Thiago Silva Rezende, Vinicius Jonathan Silva Araújo

This paper presents a novel learning algorithm for fuzzy logic neuron based on neural networks and fuzzy systems able to generate accurate and transparent models. The learning algorithm is based on ideas from Extreme Learning Machine [36], to achieve a lo... see more

Bootstrap lasso | Extreme Learning Machines | Regression Problems | Fuzzy Neural Network | Fuzzy Logic Neurons

Miscelánea: A Journal of English and American Studies , 2018

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Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems

Paulo Vitor de Campos Souza, Augusto Junio Guimaraes, Vanessa Souza Araújo, Thiago Silva Rezende, Vinicius Jonathan Silva Araújo

Bootstrap lasso | Extreme Learning Machines | Regression Problems | Fuzzy Neural Network | Fuzzy Logic Neurons

Inteligencia Artificial , 2018

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Feature selection using regression mutual information deep convolution neuron networks for COVID-19 X-ray image classification

(1) Tongjai Yampaka (Department of Computer ScienceFaculty of Business Administration and Information TechnologyRajamangala University of Technology Tawan-Ok) (2) Suteera Vonganansup (Department of Computer ScienceFaculty of Business Administration and Information TechnologyRajamangala University of Technology Tawan-Ok, Thailand) (3) Prinda Labcharoenwongs (Department of Computer ScienceFaculty of Business Administration and Information TechnologyRajamangala University of Technology Tawan-Ok, Thailand)

Coronavirus disease (COVID-19) is a pandemic disease that has spread rapidly among people living in many countries. The effective screening and immediate medical response for the infected patients are important to treat with stopping the spread of C... see more

COVID-19 | Medical imaging | Deep neural networks | Regression mutual information | Feature selection

International Journal of Advances in Intelligent Informatics , 2022

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Feature selection using regression mutual information deep convolution neuron networks for COVID-19 X-ray image classification

COVID-19 | Medical imaging | Deep neural networks | Regression mutual information | Feature selection

IJAIN (International Journal of Advances in Intelligent Informatics) , 2022

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