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TNN
2008
88views more  TNN 2008»
13 years 8 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
FLAIRS
2004
13 years 9 months ago
Spatiotemporal Novelty Detection Using Resonance Networks
We present a single-layer recurrent neural network that implements novelty detection for spatiotemporal patterns. The architecture is based on the structure of region CA3 in the h...
Benjamin A. Rowland, Anthony S. Maida
CCIA
2006
Springer
13 years 11 months ago
Tactical modularity for evolutionary animats
In this paper, we use a massive modular architecture for the generation of complex behaviours in complex robots within the evolutionary robotics framework. We define two different ...
Ricardo A. Téllez, Cecilio Angulo
ICANN
2009
Springer
14 years 2 months ago
Acquiring and Classifying Signals from Nanopores and Ion-Channels
The use of engineered nanopores as sensing elements for chemical and biological agents is a rapidly developing area. The distinct signatures of nanopore-nanoparticle lend themselve...
Bharatan Konnanath, Prasanna Sattigeri, Trupthi Ma...
ICAISC
2004
Springer
14 years 1 months ago
Visualization of Hidden Node Activity in Neural Networks: I. Visualization Methods
Abstract. Quality of neural network mappings may be evaluated by visual inspection of hidden and output node activities for the training dataset. This paper discusses how to visual...
Wlodzislaw Duch