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» Image classification using hybrid neural networks
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CORR
2010
Springer
209views Education» more  CORR 2010»
13 years 9 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam
IJCNN
2006
IEEE
14 years 3 months ago
In Situ Training of CMOL CrossNets
—— Hybrid semiconductor/nanodevice (“CMOL”) technology may allow the implementation of digital and mixed-signal integrated circuits, including artificial neural networks (...
Jung Hoon Lee, Konstantin Likharev
ISBI
2006
IEEE
14 years 10 months ago
Classification of galactograms using fractal properties of the breast ductal network
Several types of breast carcinomas tend to spread along the surface of the ductal lumen. Spontaneous nipple discharge can be an early symptom of such cancer development that does ...
Despina Kontos, Vasileios Megalooikonomou, Ailar J...
ICPR
2004
IEEE
14 years 10 months ago
Neural Network Based Modeling and Color Rendering for Mixed Reality
This paper describes a new approach to color image rendering for mixed reality applications. The approach has two steps. The first uses neural network based photometric stereo to ...
Haruki Kawanaka, Kenji Funahashi, Robert J. Woodha...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
14 years 26 days ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing