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CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 8 months ago
To which extend is the "neural code" a metric ?
Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike train...
Bruno Cessac, Horacio Rostro-González, Juan...
DAGM
1993
Springer
14 years 1 days ago
Segmentation of Magnetic Resonance Brain Images using Analog Constraint Satisfaction Neural Networks
The Grey-White Decision Network (GWDN) is presented as an analog constraint satisfaction neural network that segments magnetic resonance brain images. Constraints on signal intens...
Andrew J. Worth, David N. Kennedy
ESWA
2007
100views more  ESWA 2007»
13 years 8 months ago
Treatment of multi-dimensional data to enhance neural network estimators in regression problems
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
H. Altun, A. Bilgil, B. C. Fidan
IJCES
2002
100views more  IJCES 2002»
13 years 7 months ago
Neural Network Decoders for Linear Block Codes
This paper presents a class of neural networks suitable for the application of decoding error-correcting codes.The neural model is basically a perceptron with a high-order polynom...
Ja-Ling Wu, Yuen-Hsien Tseng, Yuh-Ming Huang
IJCSA
2007
100views more  IJCSA 2007»
13 years 7 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani