Prediction of compressive strength of concrete containing construction and demolition waste using artificial neural networks
ATA Dantas, MB Leite… - Construction and Building …, 2013 - Elsevier
In this study Artificial Neural Networks (ANNs) models were developed for predicting the
compressive strength, at the age of 3, 7, 28 and 91days, of concretes containing …
compressive strength, at the age of 3, 7, 28 and 91days, of concretes containing …
Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self‐Compacting Concrete
SCC (self‐compacting concrete) is a high‐flowing concrete that blasts into structures. Many
academics have been interested in using an artificial neural network (ANN) to forecast …
academics have been interested in using an artificial neural network (ANN) to forecast …
[PDF][PDF] A privacy taxonomy for the management of ubiquitous environments
Pervasive and ubiquitous environments must handle the detection and management of
users, devices and services, while guaranteeing the privacy of both the users and the …
users, devices and services, while guaranteeing the privacy of both the users and the …
MLP networks for classification and prediction with rule extraction mechanism
PG Campos, EMJ Oliveira, TB Ludermir… - … joint conference on …, 2004 - ieeexplore.ieee.org
This work describes the use of direct supervised multi layer perceptron network (MLP) with
one hidden layer. Its weights are adjusted by the backpropagation algorithm. In an artificial …
one hidden layer. Its weights are adjusted by the backpropagation algorithm. In an artificial …
Artificial neural networks to estimate the productivity of soybeans and corn by chlorophyll readings
GK Michelon, PL de Menezes, CL Bazzi… - Journal of Plant …, 2018 - Taylor & Francis
Crop productivity prediction techniques assist with adjusting for potential agronomic
problems during the growing season. Several authors have reported that there is a …
problems during the growing season. Several authors have reported that there is a …
Estimação da evapotranspiração de referência no Estado do Rio de Janeiro usando redes neurais artificiais
Propor uma rede neural artificial (RNA) para estimar a evapotranspiração de referência
(ETo) em função das coordenadas de posição geográfica e da temperatura do ar no Estado …
(ETo) em função das coordenadas de posição geográfica e da temperatura do ar no Estado …
An application of the Lurie problem in Hopfield neural networks
The goal of this work is to present applications of recent results in the Lurie problem, also
known as the absolute stability problem, to Hopfield neural networks, aiming its stability …
known as the absolute stability problem, to Hopfield neural networks, aiming its stability …
Comparison between backpropagation and RPROP algorithms applied to fault classification in transmission lines
The computed results from implemented artificial intelligence algorithms, used to identify
and classify faults in transmission lines, are discussed in this paper. The proposed …
and classify faults in transmission lines, are discussed in this paper. The proposed …
Image clustering with spiking neuron network
The process of segmenting images is one of the most critical ones in automatic image
analysis whose goal can be regarded as to find what objects are presented in images …
analysis whose goal can be regarded as to find what objects are presented in images …
Using neural networks for determining hydrocarbons presence from well logs: A case study for Alagoas Basin
MA Fernandes - SPE Latin America and Caribbean Petroleum …, 2012 - onepetro.org
This work proposes a method to determine oil, gas and water presence in reservoirs directly
from commonly measured well log parameters, such as resistivity, gamma-ray, density and …
from commonly measured well log parameters, such as resistivity, gamma-ray, density and …