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Aplicação de inteligência artificial em modelagem científica
(Universidade Federal de Santa MariaCentro de Ciências Naturais e Exatas, 2016-12-15)
Artificial Intelligence (A.I.) is a growing field of research aiming to make intelligent agents which can solve hard problems and auxiliate in computational activity. Neural network is an A.I. field inspired by concepts ...
A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics
(Frontiers Research Foundation, 2020-04)
A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational ...
Evolutionary Artificial Neural Networks in Neutron Spectrometry
(IntechOpen, 2010-07)
Artificial Neural Networks (ANN), are highly simplified models of the brain processes
(Graupe, 2007; Kasabov, 1998). AnANNis a biologically inspired computational model which
consists of a large number of simple processing ...
Propagação de alvos em redes neurais artificiais
(Universidade Federal de Santa MariaBrasilFísicaUFSMPrograma de Pós-Graduação em FísicaCentro de Ciências Naturais e Exatas, 2019-02-22)
Artificial neural network is a type of artificial intelligence focued on the study of learning systems
with data. The training of neural networks requires a method that evolves their internal
parameters, which are ...
Introduction
(2008)
The ultimate goal of control engineering is to implement an automatic system that could operate with increasing independence from human actions in an unstructured and uncertain environment. Such a system may be named ...
Artificial neural network applied to the pore pressure estimation of a rocky formationRede neural artificial aplicada à estimativa da pressão de poros de uma formação rochosa
(Universidade de São Paulo, Instituto de Geociências, 2021)
Hardware implementation of spiking neural networks for embedded systems applications
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-06-11)
Currently, conventional computer architectures have reached physical limitations that compromise the exponential increase of processing speed, as stated in Moore’s Law. Consequently, other areas have been explored to handle ...
APLICAÇÃO DE UMA REDE NEURAL ARTIFICIAL SIMPLIFICADA PARA A IDENTIFICAÇÃO DE GRADAÇÃO DE DEPÓSITOS TURBIDITÍCOS
(Instituto de Geociências e Ciências Exatas, Universidade Estadual Paulista, 2013)
Metodologia para previsão de carga no horizonte de curto prazo utilizando redes neurais
(Universidade Federal de Santa MariaBrasilEngenharia ElétricaUFSMPrograma de Pós-Graduação em Engenharia ElétricaCentro de Tecnologia, 2019-08-28)
Competitiveness and the insertion of new technologies in the electricity sector now condition companies
to find ways to improve the quality of their services and ensure profitability. The short-term load
forecasting ...