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» On the Use of Evidence in Neural Networks
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CEC
2005
IEEE
15 years 7 months ago
Evolving improved incremental learning schemes for neural network systems
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
Tebogo Seipone, John A. Bullinaria
APPINF
2003
15 years 2 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
ICDAR
2003
IEEE
15 years 6 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
PRIS
2004
15 years 2 months ago
Character Rotation Absorption Using a Dynamic Neural Network Topology: Comparison With Invariant Features
Abstract. This paper treats on rotation absorption in neural networks for multioriented character recognition. Classical approaches are based on several rotation invariant features...
Christophe Choisy, Hubert Cecotti, Abdel Belaï...
ASC
2004
15 years 1 months ago
Neural network-based colonoscopic diagnosis using on-line learning and differential evolution
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for t...
George D. Magoulas, Vassilis P. Plagianakos, Micha...