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» Boundary value problems on weighted networks
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ICPR
2000
IEEE
14 years 6 months ago
Image Recognition on the Neural Network Based on Multi-Valued Neurons
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...
Igor N. Aizenberg, Naum N. Aizenberg, Constantine ...
STOC
2007
ACM
109views Algorithms» more  STOC 2007»
14 years 6 months ago
Stability of the max-weight routing and scheduling protocol in dynamic networks and at critical loads
We study the stability of the Max-Weight protocol for combined routing and scheduling in communication networks. Previous work has shown that this protocol is stable for adversari...
Matthew Andrews, Kyomin Jung, Alexander L. Stolyar
JSAC
2008
86views more  JSAC 2008»
13 years 5 months ago
Distributed function calculation and consensus using linear iterative strategies
Given an arbitrary network of interconnected nodes, we develop and analyze a distributed strategy that enables a subset of the nodes to calculate any given function of the node val...
Shreyas Sundaram, Christoforos N. Hadjicostis
CORR
2011
Springer
200views Education» more  CORR 2011»
13 years 23 days ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
ICONIP
1998
13 years 7 months ago
A Study on Initialization for BP Networks
This paper proposes an initialization of back propagation (BP) networks for pattern classification problems; the weights of hidden units are initialized so that hyperplanes should...
Hiroshi Shiratsuchi, Hiromu Gotanda, Katsuhiro Ino...