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108
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NN
2007
Springer
15 years 3 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
Robert A. Legenstein, Wolfgang Maass
120
Voted
IJCSS
2000
117views more  IJCSS 2000»
15 years 3 months ago
Direct adaptive neural control for turning complex rotating profiles
Abstract. During the machining process of a complex rotating pro
Tingzhang Lui, Xinzhong Li
152
Voted
ANNPR
2008
Springer
15 years 5 months ago
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets
Clustering constitutes an ubiquitous problem when dealing with huge data sets for data compression, visualization, or preprocessing. Prototype-based neural methods such as neural g...
Alexander Hasenfuss, Barbara Hammer, Fabrice Rossi
106
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ICAISC
2004
Springer
15 years 9 months ago
Visualization of Hidden Node Activity in Neural Networks: II. Application to RBF Networks
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
Wlodzislaw Duch
127
Voted
IJCNN
2008
IEEE
15 years 10 months ago
Evolving a neural network using dyadic connections
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
Andreas Huemer, Mario A. Góngora, David A. ...