715 search results - page 3 / 143 » Neural Network with Matrix Inputs |
IWANN
2001
Springer
13 years 9 months ago
2001
Springer
We propose a novel approach based upon a superposition of ‘colored’ and ‘white’ noise to approximate current inputs in neural models. Numerical results show that the novel ...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
The hierarchical non-negative matrix factorization (HNMF) is a multilayer generative network for decomposing strictly positive data into strictly positive activations and base vect...
ICANN
2003
Springer
13 years 10 months ago
2003
Springer
The storage and short-term memory capacities of recurrent neural networks of spiking neurons are investigated. We demonstrate that it is possible to process online many superimpose...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—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...