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Multi-layer perceptrons to reduce ground reflection effect in real-time locating systems
(01/26/2012)
Nowadays, indoor Real-Time Locating Systems represent one of the most exciting applications based on Wireless Sensor Networks using wireless technologies such as Wi-Fi or ZigBee. Indoor Real-Time Locating Systems based on ...
Sensitivity for Multivariate Calibration based on Multilayer Perceptron Artificial Neural Networks
(American Chemical Society, 2020-08)
The use of machine learning for multivariate spectroscopic data analysis in applications related to process monitoring has become very popular since non-linearities in the relationship between signal and predicted variables ...
Asset analysis system using multilayer neural networksSistema de análise de ativos através de redes neurais de múltiplas camadas
(Universidade Federal de Santa Maria, 2012)
On the approximation of the inverse dynamics of a robotic manipulator by a neural network trained with a stochastic learning algorithmOn the approximation of the inverse dynamics of a robotic manipulator by a neural network trained with a stochastic learning algorithm
(Corporación Universidad de la Costa, 2019)
Neural network for seasonal climate precipitation prediction on the BrazilRede neural para previsão climática sazonal de precipitação no Brasil
(Universidade Federal de Santa Maria, 2020)
Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural networks
(01/01/2013)
Wireless sensor networks (WSNs) have become much more relevant in recent years, mainly because they can be used in a wide diversity of applications. Real-time locating systems (RTLSs) are one of the most promising applications ...
Optimized Multilayer perceptron for the geographical and genotypic classification of four genotypes of arabica coffee
(Universidade Tecnológica Federal do Paraná (UTFPR), 2013)
Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition
(AEPIA, 2009-12)
A face recognition (FR) problem involves the face detection, representation and classification steps. Once a face is located in an image, it has to be represented through a feature extraction process, for later performing ...
Neural Network MLP (Multilayer Perceptron) application in the flooring and ceramic tile industries in the Ceramic Pole of Santa Gertrudes-SPAPLICAÇÃO DA REDE NEURAL MLP (MULTILAYER PERCEPTRON) EM INDÚSTRIA DE PISOS E REVESTIMENTOS DO PÓLO CERÂMICO DE SANTA GERTRUDES - SP
(Instituto de Geociências e Ciências Exatas, Universidade Estadual Paulista, 2013)