[PDF] Top 20 Artificial neural networks reveal efficiency in genetic value prediction
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Artificial neural networks reveal efficiency in genetic value prediction
... multilayer neural networks. The proposed neural network has 1 input layer, 3 intermediate layers, and 1 output ...(phenotypic value of the individual in the ...individuals in ... See full document
12
High-efficiency phenotyping for vitamin A in banana using artificial neural networks and colorimetric data
... fruits in Brazil and an important source of minerals, vitamins and carbohydrates for human ...integrate genetic improvement ...content in banana through artificial neural ... See full document
7
PREDICTION OF HYDRODYNAMIC COEFFICIENTS OF PERMEABLE PANELED BREAKWATER USING ARTIFICIAL NEURAL NETWORKS
... as artificial beaches, nourishment, breakwaters, jetties, seawalls, artificial headlands and ...breakwater in form of thin, rigid, vertical slotted wall made from concrete or timber planks was ... See full document
12
Prediction of soil shear strength parameters using artificial neural networks
... Then in 2006, the ANN began to prove their efficiency in official competitions when a Neoconitron-inspired, Creceptron-like, MPCNN (Max-Pooling Convolutional Neural Network) was the winner of ... See full document
159
ARTIFICIAL NEURAL NETWORKS FOR PREDICTION OF PHYSIOLOGICAL AND PRODUCTIVE VARIABLES OF BROILERS
... neurons in the hidden layer is excessive, performance can be compromised, because many weights and the bias of neurons could have values equal to zero and would increase the processing of output value ... See full document
9
Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes
... days in cattle Ta- bapuã, originating from the neural networks and the values predicted by ...the value was even lower ...of neural networks in genetic evaluations ... See full document
5
Prediction of Operating Characteristics of Electrotechnical Devices using Artificial Neural Networks
... r.m.s. value and frequency. Due to the induced currents in the plate, the magnetic flux through the coil changes, varying mainly with the distance coil - ... See full document
6
Innovative hybrid modeling of wind speed prediction involving time-series models and artificial neural networks
... and artificial intelligence (using a nonlinear function) that can be used to provide monthly mean wind speed predictions for the Brazilian northeast ...models’ efficiency in providing perfect ... See full document
18
Prediction of Skin Penetration using Artificial Neural Network
... ANN in pharmaceutics was demonstrated by successful construction of a number of QSPkR 17, 18 ...the prediction of human pharmacokinetic parameters. In number of diverse fields, there has been an ... See full document
6
Egg Hatchability Prediction by Multiple Linear Regression and Artificial Neural Networks
... variations in each model are presented in Figure 2, and are represented as the central value (mean), as well as standard error and standard deviation ...models. In ANN, results presented ... See full document
6
Combining Artificial Neural Networks and GIS Fundamentals for Coastal Erosion Prediction Modeling
... Artificial neural networks (ANN) or simply a neural network, is a set of independent neurons linked together in the same way as the synapses, neurons, and dendrites of ours ...output. ... See full document
14
Prediction of Electrochemical Machining Process Parameters using Artificial Neural Networks
... ANN in different nontraditional machining processes such as, Kuo Tsai et ...different neural networks models to predict the surface finish based on the effect of changing the electrode polarity ... See full document
8
Spatial predictive mapping using artificial neural networks
... technologies in geosciences was primarily limited due to difficulties to integrate it into geo-data processing ...algorithms. In consideration of this background, the software advangeo® was developed to ... See full document
8
Evaluation of the efficiency of artificial neural networks for genetic value prediction
... the efficiency of the ANN, validation files were generated and also obtained through a trial simulation process in an RBD, with the numbers of blocks and genotypes exactly equal to those of the original ... See full document
11
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
Masonry Compressive Strength Prediction Using Artificial Neural Networks
... procedure, in order for the results to be comparable and the comparison to be ...tested in order for the values to be statistically acceptable; a small amount of tested specimens, regardless of credibility, ... See full document
25
Superiority of artificial neural networks for a genetic classification procedure
... the efficiency of ANN in studies focused on classical breeding have been reported in the ...the genetic diversity in papaya (Carica papaya ...study genetic diversity. A similar ... See full document
9
Prediction of ‘Gigante’ cactus pear yield by morphological characters and artificial neural networks
... Neural networks with R² of ...high value of R², and the non-significance of the angular coefficient of the line (Ho: b = 1), proves the prediction efficiency and generalization of the ... See full document
5
Estimating soybean yields with artificial neural networks
... of artificial neural networks ...harvest in Anápolis, Goiás State, B razil, were used to conduct this study after being normalized to an ANN-compatible ...used in the experiment shows ... See full document
9
Fuzzy nonlinear regression using artificial neural networks
... Abstract: Fuzzy linear regression analysis with symmetric triangular fuzzy number coefficient has been introduced by Tanaka et al. In this work we propose to approximate the fuzzy nonlinear regression using ... See full document
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