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» Encoding Closure Operators into Neural Networks
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TNN
1998
96views more  TNN 1998»
14 years 9 months ago
Noise suppressing sensor encoding and neural signal orthonormalization
In this paper we regard first the situation where parallel channels are disturbed by noise. With the goal of maximal information conservation we deduce the conditions for a transf...
Rüdiger W. Brause, M. Rippl
GPEM
2006
82views more  GPEM 2006»
14 years 9 months ago
Shortcomings with using edge encodings to represent graph structures
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...
Gregory Hornby
LSMS
2007
Springer
15 years 3 months ago
A Simulation Study on the Encoding Mechanism of Retinal Ganglion Cell
Understanding how the retina encodes visual information is a key issue for the development of a retinal prosthesis. To study this issue, the neural retina is modeled as a retina mo...
Chao-Feng Cai, Pei-Ji Liang, Pu-Ming Zhang
66
Voted
IJCNN
2006
IEEE
15 years 3 months ago
SOM-Based Sparse Binary Encoding for AURA Classifier
—The AURA k-Nearest Neighbour classifier associates binary input and output vectors, forming a compact binary Correlation Matrix Memory (CMM). For a new input vector, matching ve...
Simon O'Keefe
90
Voted
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 2 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui