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Combining neural networks andgeostatistics for landslide hazardassessment of San Salvador metropolitan area, El Salvador
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2016)
Neural input space mapping optimization based on nonlinear two-layer perceptrons with optimized nonlinearity
(Int. J. RF and Microwave CAE, 2010-09)
Neural input space mapping optimization based on nonlinear two-layer perceptrons with optimized nonlinearity
(Int. J. RF and Microwave CAE, 2010-09)
Enhancement of multianalyte mass spectrometry detection through response surface optimization by least squares and artificial neural network modelling
(Elsevier Science, 2019-10)
In this work, the use of design of experiments and posterior data modelling by artificial neural network (ANN) and least squares (LS) is presented as a suitable analytical tool for the performance optimization of a tandem ...
ARTIFICIAL NEURAL NETWORKS APPLIED TO FLOOD FORECASTING FOR THE PANTANAL REGION IN MATO GROSSO DO SULREDES NEURAIS ARTIFICIAIS APLICADAS À PREVISÃO DE ENCHENTES PARA REGIÃO DO PANTANAL NO MATO GROSSO DO SUL
(Instituto de Geociências e Ciências Exatas, Universidade Estadual Paulista, 2020)
ANN-agent for Distributed Knowledge Source Discovery
(Springer Berlin / Heidelberg, 2007-12)
This paper presents an Artificial Neural Network-based (ANN) agent with capabilities for discovering distributed knowledge sources. This agent has the responsibility of guiding knowledge requirements towards distributed ...
An artificial neural network (ANN) model for predicting water absorption of nanoclay-epoxy composites
(Scientific Research Publishing Inc., 2019-07)
Glass fiber reinforced epoxy (GFRE) composite materials are prone to suffer from water absorption due to their heterogeneous structure. The main process governing water absorption is diffusion of water molecules through ...