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Pruning methods to MLP neural networks considering proportional apparent error rate for classification problems with unbalanced data
(Elsevier B.V., 2014-10-01)
This article deals with classification problems involving unequal probabilities in each class and discusses metrics to systems that use multilayer perceptrons neural networks (MLP) for the task of classifying new patterns. ...
ARTIFICIAL NEURAL NETWORKS RESTRICTION FOR ROAD ACCIDENTS SEVERITY CLASSIFICATION IN UNBALANCED DATABASE
(Yildiz Technical Univ, 2019-09-01)
The objective of this study is to discuss the main constraints in classifying the severity of road accidents using Artificial Neural Networks (ANN). To achieve this, ANN modelling with Multiple Layers Perceptron (MPL) was ...
The use of unbalanced historical data for genomic selection in an international wheat breeding program
(Elsevierhttp://www.sciencedirect.com/science/article/pii/S0378429013002645, 2014)
SUMS OF SQUARES OF POLYNOMIAL EFFECTS OF TREATMENTS IN RANDOMIZED BLOCK EXPERIMENTS WITH UNBALANCED DATA
(International Biometric Soc, 1985-12-01)
SUMS OF SQUARES OF POLYNOMIAL EFFECTS OF TREATMENTS IN RANDOMIZED BLOCK EXPERIMENTS WITH UNBALANCED DATA
(International Biometric Soc, 1985-12-01)
Practical comparisons among electronic energy meters, a precision energy meter and IEEE1459 for reactive energy measurements, under unbalanced and non-sinusoidal conditions
(2012-12-01)
This paper presents a practical experimentation for comparing reactive/non-active energy measures, considering three-phase four-wire non-sinusoidal and unbalanced circuits, involving five different commercial electronic ...