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IJCSS
2007
122views more  IJCSS 2007»
15 years 6 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...
IJIM
2007
174views more  IJIM 2007»
15 years 6 months ago
Contextual Mobile Learning: A Step Further to Mastering Professional Appliances
—In this paper we describe our approach whose objective is to apply MOCOCO concepts to e-learning. After a short presentation of MOCOCO (Mobility, COoperation, Contextua-lisation...
Bertrand T. David, René Chalon, Olivier Cha...
IJON
2007
99views more  IJON 2007»
15 years 6 months ago
Criticality of avalanche dynamics in adaptive recurrent networks
In many studies of self-organized criticality (SOC), branching processes were used to model the dynamics of the activity of the system during avalanches. This mathematical simpliļ...
Anna Levina, Udo Ernst, J. Michael Herrmann
INFSOF
2007
81views more  INFSOF 2007»
15 years 6 months ago
An infrastructure to support interoperability in reverse engineering
An infrastructure is a set of interconnected structural elements, such as tools and schemas, that provide a framework for supporting an entire structure. The reverse engineering c...
Nicholas A. Kraft, Brian A. Malloy, James F. Power
TCS
2008
15 years 6 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas