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» Modelling of Complex Supply Networks
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147
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ICES
2003
Springer
111views Hardware» more  ICES 2003»
15 years 9 months ago
Spiking Neural Networks for Reconfigurable POEtic Tissue
Abstract. Vertebrate and most invertebrate organisms interact with their environment through processes of adaptation and learning. Such processes are generally controlled by comple...
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle...
130
Voted
ENGL
2008
153views more  ENGL 2008»
15 years 3 months ago
Neural Network NARMA Control of a Gyroscopic Inverted Pendulum
The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...
F. Chetouane, S. Darenfed
127
Voted
CORR
2010
Springer
135views Education» more  CORR 2010»
15 years 3 months ago
A stochastic analysis of greedy routing in a spatially-dependent sensor network
For a sensor network, as tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stoc...
H. Paul Keeler
141
Voted
WECWIS
1999
IEEE
102views ECommerce» more  WECWIS 1999»
15 years 8 months ago
Monitoring and Prediction of Network Performance
Analysis of network and application pegormance is traditionally based on mathematical models derived from first principles. Such models are usually complex, diflcult to use, and d...
Bjorn Frogner, Alexander B. Cannara
139
Voted
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 4 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee