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2000
Springer
167views Neural Networks» more  NN 2000»
13 years 10 months ago
Blind signal processing by the adaptive activation function neurons
The aim of this paper is to study an Information Theory based learning theory for neural units endowed with adaptive activation functions. The learning theory has the target to fo...
Simone Fiori
NN
2000
Springer
145views Neural Networks» more  NN 2000»
13 years 10 months ago
Best approximation by Heaviside perceptron networks
In Lp-spaces with p [1, ) there exists a best approximation mapping to the set of functions computable by Heaviside perceptron networks with n hidden units; however for p (1, ) ...
Paul C. Kainen, Vera Kurková, Andrew Vogt
NN
2000
Springer
150views Neural Networks» more  NN 2000»
13 years 10 months ago
Multi-step-ahead prediction using dynamic recurrent neural networks
A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, wh...
Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
IJCNN
2000
IEEE
14 years 3 months ago
Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA
In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu
NN
2000
Springer
123views Neural Networks» more  NN 2000»
13 years 10 months ago
Visual cortical mechanisms of perceptual grouping: interacting layers, networks, columns, and maps
The visual cortex has a laminar organization whose circuits form functional columns in cortical maps. How this laminar architecture supports visual percepts is not well understood...
William D. Ross, Stephen Grossberg, Ennio Mingolla