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NN
2000
Springer
192views Neural Networks» more  NN 2000»
13 years 5 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
NN
2000
Springer
123views Neural Networks» more  NN 2000»
13 years 5 months ago
Local minima and plateaus in hierarchical structures of multilayer perceptrons
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
Kenji Fukumizu, Shun-ichi Amari
NN
2000
Springer
137views Neural Networks» more  NN 2000»
13 years 5 months ago
Evolutionary robots with on-line self-organization and behavioral fitness
We address two issues in Evolutionary Robotics, namely the genetic encoding and the performance criterion, also known as fitness function. For the first aspect, we suggest to enco...
Dario Floreano, Joseba Urzelai
NN
2000
Springer
167views Neural Networks» more  NN 2000»
13 years 5 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
170views Neural Networks» more  NN 2000»
13 years 5 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...
KAIS
2000
106views more  KAIS 2000»
13 years 5 months ago
FANNC: A Fast Adaptive Neural Network Classifier
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only on...
Zhi-Hua Zhou, Shifu Chen, Zhaoqian Chen
CORR
2002
Springer
106views Education» more  CORR 2002»
13 years 5 months ago
On model selection and the disability of neural networks to decompose tasks
A neural network with fixed topology can be regarded as a parametrization of functions, which decides on the correlations between functional variations when parameters are adapted...
Marc Toussaint
INFORMATICALT
2000
178views more  INFORMATICALT 2000»
13 years 6 months ago
Neural Network for Color Constancy
Abstract. Color constancy is the perceived stability of the color of objects under different illuminants. Four-layer neural network for color constancy has been developed. It has s...
Rytis Stanikunas, Henrikas Vaitkevicius
CORR
2004
Springer
223views Education» more  CORR 2004»
13 years 6 months ago
MultiNeuron - Neural Networks Simulator For Medical, Physiological, and Psychological Applications
This work describes neural software applied in medicine and physiology to: - investigate and diagnose immune deficiencies; diagnose and study allergic and pseudoallergic reactions...
Alexander N. Gorban, D. A. Rossiyev, M. G. Dorrer