[PDF] Top 20 Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
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Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
... incubator and hatcher, and were placed one meter above the ...humidity, and carbon dioxide and oxygen levels were placed at the central upper part of the incubators and ... See full document
6
Artificial neural networks compared with Bayesian generalized linear regression for leaf rust resistance prediction in Arabica coffee
... of neural networks in predicting leaf rust resistance, since it presented satisfactory results considering the prediction error ...low prediction error rate and superior results when ... See full document
8
PREDICTION OF PHENOTYPIC AND GENOTYPIC VALUES BY BLUPGWS AND NEURAL NETWORKS
... (Artificial Neural Networks - ANNs), com a finalidade de predizer os valores genéticos genômicos (Genomic Breeding Values - GEBVs) baseado na estimação dos efeitos dos marcadores comparados a ... See full document
9
Prediction of ‘Gigante’ cactus pear yield by morphological characters and artificial neural networks
... Neural networks with R² of ...R², and the non-significance of the angular coefficient of the line (Ho: b = 1), proves the prediction efficiency and generalization of the ...obtained ... See full document
5
Application of Receptor Models on Water Quality Data in Source Apportionment in Kuantan River Basin
... on multiple linear regression (MLR) and artificial neural network (ANN) ...(Bandyopadhyay and Chattopadhyay, [7]; Sousa et ...[9]), prediction medical waste ... See full document
12
Artificial neural networks and multiple linear regression model using principal components to estimate rainfall over South America
... studying artificial neural networks (ANNs) and multiple linear regression (MLR), found that the neural-network method performed better than the linear- ... See full document
8
Medical image registration by neural networks: a regression-based registration approach
... computed by optimizing a registration criterion, usually by an iterative search in which an initial estimate of the transformation is gradually refined by a numerical optimization procedure (Hill et ... See full document
199
ESTIMATION OF PHYSICAL AND CHEMICAL SOIL PROPERTIES BY ARTIFICIAL NEURAL NETWORKS
... physical and chemical analyses are relatively high-cost and time-consuming ...of Artificial Neural Networks (ANN) has been pointed out as a great computational technique to solve this ... See full document
9
Predicting the Effects of Medical Waste in the Environment Using Artificial Neural Networks: A Case Study
... researcher and the financial analyst, the main advantage of ANNs is that there is no need to specify the functional relation between ...a neural network properly one needs a large set of representative ... See full document
4
Bol. Ciênc. Geod. vol.23 número1
... AM and OP used in the GTM ...AM and OP ...given by the ...maximum and minimum values (Table 6) is that, the BPNN- ECM transformed projected test coordinates differed by not more than ... See full document
21
Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
... of multiple future hydrological scenarios spanning several months in the future (between 24 and 60, depending on the basin); these are conditioned to the hydrological situation at the moment of the inquiry ... See full document
14
RISKS MANAGEMENT. A PROPENSITY SCORE APPLICATION
... offered by Hand and Henley ...that Regression estimations, Discriminant analysis and Decisional trees are the most prevalent statistical methods that are used in assessing credit ...or ... See full document
3
Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks
... appropriate neural network, able to simulate the behavior of proximity sensor at different functioning conditions, we choose a high degree of parameterization for the application, with different kind of ... See full document
6
PREDICTION OF HYDRODYNAMIC COEFFICIENTS OF PERMEABLE PANELED BREAKWATER USING ARTIFICIAL NEURAL NETWORKS
... parameters and the surrounding wave climate, the optimum structural features of the breakwater and the best wave conditions to be working within in order to achieve the best efficiency were ...) and ... See full document
12
Artificial neural networks (ANN): prediction of sensory measurements from instrumental data.
... sensory and instrumental measurements, it is observed that are few studies addressing the application of ...Thai and Shewfelt (1991) used an ANN for modeling the sensory quality of the color of peaches ... See full document
8
As redes neurais artificiais e o ensino da medicina.
... bastante simples, apenas dois tipos de nodos (neurônios) estão presentes: nodos de entrada e um nodo de saída. No- dos do primeiro tipo representam os atributos dos exemplos de treinamento – bem como das instâncias que ... See full document
9
Evaluation of Artificial Immune System with Artificial Neural Network for Predicting Bombay Stock Exchange Trends
... Numerous soft computing approaches have been applied effectively in predicting the movement of stock trend and produced better performance. In this study, we have proposed an immune based computational strategy ... See full document
6
RegnANN: Reverse Engineering Gene Networks using Artificial Neural Networks.
... k and the gene associated with the input neuron I ...separately and then we join the information to form the overall gene ...input and output patterns used to train with back-propagation [33] a ... See full document
19
Assessment of genome-wide prediction by using Bayesian regularized neural networks
... Snark) by Marvin Minsky in ...1957 and 1958 by Frank Rosenblatt, Charles Wightman, and ...of neural network processing element called ADALINE, which was equipped with a powerful new ... See full document
68
Clinics vol.65 número12
... SVM and RBFNN classifiers, and NETLAB 16 software was used to implement the MLP ...samples, and multiple train-and-test experiments can do ...parameters and to evaluate their ... See full document
6
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