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Machine printed character recognition system using feature point extraction and neural network classifier
(Universidad Inca Garcilaso de la Vega, 2009-11)
Optical Character Recognition has become the aim of many research studies in the last decades, and that is just because its great influence in many industries such as banking, shipping, commerce, communications, marketing, ...
Earthquake classifying neural networks trained with random dynamic neighborhood PSOs
(2011-05-26)
This paper investigates the use of Random Dynamic Neighborhoods in Particle Swarm Optimization (PSO) for the purposeof training fixed-architecture neural networks to classify a real-world data set of seismological data.Instead ...
Optimization of neural classifiers based on bayesian decision boundaries and idle neurons pruning
(2002-12-01)
In this article we describe a feature extraction algorithm for pattern classification based on Bayesian Decision Boundaries and Pruning techniques. The proposed method is capable of optimizing MLP neural classifiers by ...
Neural networks models for wear patterns recognition of single-point dresser
(2013-09-24)
Grinding is a workpiece finishing process for advanced products and surfaces. However, the constant friction between workpiece and grinding wheel causes the latter to lose its sharpness, thereby impairing the result of the ...
Neural networks models for wear patterns recognition of single-point dresser
(2013-09-24)
Grinding is a workpiece finishing process for advanced products and surfaces. However, the constant friction between workpiece and grinding wheel causes the latter to lose its sharpness, thereby impairing the result of the ...
Fast non-technical losses identification through Optimum-Path Forest
(2009-12-09)
Fraud detection in energy systems by illegal consumers is the most actively pursued study in non-technical losses by electric power companies. Commonly used supervised pattern recognition techniques, such as Artificial ...
Fast non-technical losses identification through Optimum-Path Forest
(2009-12-09)
Fraud detection in energy systems by illegal consumers is the most actively pursued study in non-technical losses by electric power companies. Commonly used supervised pattern recognition techniques, such as Artificial ...
Wear Particle Classifier System Based on an Artificial Neural Network
(Assoc Mechanical Engineers Technicians Slovenia, 2010-04-01)
This paper describes a method of identifying morphological attributes that classify wear particles in relation to the wear process from which they originate and permit the automatic identification without human expertise. ...