Feasibility of using neural networks to obtain simplified capacity curves for seismic assessment

Giemsa staining, nucleolar organizer region (NOR) banding, C-positive heterochromatin banding and DAPI fluorescence were used in N metaphases of a specimen collected in Asa

Abstract Introduction : The aim of this study was to predict 3D ground reaction force signals based on accelerometer data during gait, using a feed-forward neural network

This work aims to obtain a simplified mathematical model of aggression for wood in contact with the ground, using weather data provided by IAC – Instituto Agronômico

In this sense, the purpose of this study was to evaluate the feasibility of artificial neural networks as a technique for genetic diversity analysis of Carica papaya L., implementing

In the present study, the objective is to obtain a carbon layer on AISI 430 stainless steel to improve the corrosion and hardness proprieties of this material using

A multi-layer perception neural network was used to estimate the thermal efficiency and resistance of a thermosyphon during application of a magnetic field and using nanoparticles

In this study, a predictive controller using a feed- forward neural network with online adaptation of the parameters was used in the temperature control of a batch process for

In this work a comparative study of the bilinear dynamic identification of a helicopter blade aeroelastic response is carried out using artificial neural networks is presented.. Two