625 search results - page 70 / 125 » Approximating Travel Times Using Opportunistic Networking |
142
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IJCSA
2006
15 years 3 months ago
2006
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
152
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SBRN
2000
IEEE
15 years 7 months ago
2000
IEEE
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
112
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IWCMC
2006
ACM
15 years 9 months ago
2006
ACM
— In this paper we focus on characterizing the average end-to-end delay and maximum achievable per-node throughput in random access multihop wireless ad hoc networks with station...
117
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IJON
2007
15 years 3 months ago
2007
Piecewise linear networks (PLNs) are attractive because they can be trained quickly and provide good performance in many nonlinear approximation problems. Most existing design alg...
164
Voted
CLADE
2003
IEEE
15 years 8 months ago
2003
IEEE
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...