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ESANN
2000
13 years 9 months ago
An algorithm for the addition of time-delayed connections to recurrent neural networks
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
Romuald Boné, Michel Crucianu, Jean Pierre ...
ENTCS
2008
105views more  ENTCS 2008»
13 years 8 months ago
Checking Equivalence for Reo Networks
Constraint automata have been used as an operational model for component connectors described in the coordination language Reo which specifies the cooperation and communication of...
Tobias Blechmann, Christel Baier
IJCSS
2007
122views more  IJCSS 2007»
13 years 8 months ago
Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...
GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
14 years 1 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 8 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam