• Nenhum resultado encontrado

PREDICTION OF HYDRODYNAMIC COEFFICIENTS OF PERMEABLE PANELED BREAKWATER USING ARTIFICIAL NEURAL NETWORKS

N/A
N/A
Protected

Academic year: 2017

Share "PREDICTION OF HYDRODYNAMIC COEFFICIENTS OF PERMEABLE PANELED BREAKWATER USING ARTIFICIAL NEURAL NETWORKS"

Copied!
12
0
0

Texto

Loading

Referências

Documentos relacionados

Por haverem poucos casos tanto em cães como em gatos de classificações histológicas de tecido hematopoiético e linforreticular e de tecido nervoso procedemos à

Here, in order to give a mathematical formulation of the d-m process, we introduce a finite absorbing Markov chain having as states the steps of this process

Lower prediction error rates (1.60%) were observed for predicting leaf rust resistance in Arabica coffee when artificial neural networks were used instead of Bayesian

The comparison of classification in artificial and fuzzy neural networks technique has been conducted to separate classes of forest from non-forest using SPOT satellite

Topology of the best adjusted network (A) and relative contribution to yield (B), obtained by Garson's method (Garson, 1991), of the agronomic parameters cladode length (CL),

Os objetivos específicos incluem: escolher terreno, de três encontrados próximos ao HUST e Policlínica, para a construção de um edifício garagem; definir o tipo do edifício

Statistical Analysis and Artificial Neural Networks were used to simulate the mixes viscosity for prediction of the asphalt-rubber behavior.. The statistical analysis shows

A back propagation artificial neural networks (BPANN) was used for estimating the velocity of the geodetic densification points as an alternative tool to the interpolation methods