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On the accuracy of two-fluid model predictions for a particular gas-solid riser flow
(ELSEVIER SCIENCE INC, 2010)
Literature presents a huge number of different simulations of gas-solid flows in risers applying two-fluid modeling. In spite of that, the related quantitative accuracy issue remains mostly untouched. This state of affairs ...
Evaluation of the efficiency of artificial neural networks for genetic value prediction
(Funpec-editora, 2016-01-01)
Artificial neural networks have shown great potential when applied to breeding programs. In this study, we propose the use of artificial neural networks as a viable alternative to conventional prediction methods. We conduct ...
Optimal selection of factors using Genetic Algorithms and Neural Networks for the prediction of students' academic
(Institute of Electrical and Electronics Engineers Inc., 2016)
In this research, we propose to use a Genetic Algorithm with an Artificial Neural Network as fitness function in order to solve one of the most important problems in predicting academic success in higher education environments. ...
Accuracy of genotype imputation and genomic predictions in a two-generation farmed Atlantic salmon population using high-density and low-density SNP panels
(2018-04-01)
The objectives of this study were: (i) to assess genotype imputation accuracy in different scenarios using genome-wide single nucleotide polymorphisms (SNP) data from a population comprising two generations of farmed ...
Genome-enabled prediction models for yield related traits in chickpea
(Frontiers, 2021)
Genomic prediction of breeding values for carcass traits in Nellore cattle
(2016-01-29)
Background: The objective of this study was to evaluate the accuracy of genomic predictions for rib eye area (REA), backfat thickness (BFT), and hot carcass weight (HCW) in Nellore beef cattle from Brazilian commercial ...
Do going concern opinions provide incremental information to predict corporate defaults?
(Springer, 2020)
Investors, regulators, and academics question the usefulness of going concern opinions (GCOs). We assess whether GCOs provide incremental information, relative to other predictors of corporate default. Our measure of ...
Evaluation of the efficiency of artificial neural networks for genetic value prediction
(Genetics and Molecular Research, 2017)
Genomic Prediction Accuracy for Resistance Against Piscirickettsia salmonis in Farmed Rainbow Trout
(Genetics Society America, 2018-02-01)
Salmonid rickettsial syndrome (SRS), caused by the intracellular bacterium Piscirickettsia salmonis, is one of the main diseases affecting rainbow trout (Oncorhynchus mykiss) farming. To accelerate genetic progress, genomic ...