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IJCNN
2008
IEEE
15 years 9 months ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...
NC
1998
101views Neural Networks» more  NC 1998»
15 years 4 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
INFOCOM
2005
IEEE
15 years 8 months ago
Throughput modelling and fairness issues in CSMA/CA based ad-hoc networks
— In this paper, we consider the throughput modelling and fairness provisioning in CSMA/CA based ad-hoc networks. The main contributions are: Firstly, a throughput model based on...
Xin Wang, Koushik Kar
COMCOM
2004
99views more  COMCOM 2004»
15 years 3 months ago
Performance analysis of a mobile communication network: the tandem case
This paper investigates mobile communication networks consisting of N-cells in tandem. Two models with fixed channel assignment are considered, which correspond to (A) a uni-direc...
Attahiru Sule Alfa, Bin Liu
AUTOMATICA
2005
145views more  AUTOMATICA 2005»
15 years 3 months ago
Averaging analysis of periodically forced fluid networks
For a lumped parameter model of a flow network driven by a periodic generator, we apply averaging to find an approximate solution and analyze its stability. The approximate soluti...
Olga I. Koroleva, Miroslav Krstic