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ISCI
2002
120views more  ISCI 2002»
15 years 2 months ago
A class of instantaneously trained neural networks
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
Subhash C. Kak
NC
1998
170views Neural Networks» more  NC 1998»
15 years 4 months ago
Neural Network Supported Adaptation in Case-based Reasoning
: This paper describes a system, which integrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can pr...
Yain-Whar Si, Otakar Babka
NN
2002
Springer
113views Neural Networks» more  NN 2002»
15 years 2 months ago
A dynamically coupled neural oscillator network for image segmentation
We propose a dynamically coupled neural oscillator network for image segmentation. Instead of pair-wise coupling, an ensemble of oscillators coupled in a local region is used for ...
Ke Chen 0001, DeLiang L. Wang
ICDAR
2003
IEEE
15 years 8 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
IJCNN
2000
IEEE
15 years 7 months ago
Analog Hardware Implementation of the Random Neural Network Model
This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposed circuit uses the general principles resulting from the u...
Hossam Abdelbaki, Erol Gelenbe, Said E. El-Khamy