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NCA
2006
IEEE
15 years 19 days ago
Evolutionary training of hardware realizable multilayer perceptrons
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
107
Voted
ESANN
2004
15 years 2 months ago
Reducing connectivity by using cortical modular bands
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
Julien Vitay, Nicolas P. Rougier, Fréd&eacu...
WDAG
2005
Springer
100views Algorithms» more  WDAG 2005»
15 years 6 months ago
The Dynamic And-Or Quorum System
We investigate issues related to the probe complexity of the And-Or quorum system and its implementation in a dynamic environment. Our contribution is twofold: We first analyze th...
Uri Nadav, Moni Naor
99
Voted
AINA
2007
IEEE
15 years 7 months ago
Flexible and Manageable Delegation of Authority in RBAC
One of the most challenging problems in managing large networks is the complexity of security administration. Role based access control (RBAC) has become the predominant model for...
Tuan-Anh Nguyen, Linying Su, George Inman, David W...
81
Voted
IJCNN
2000
IEEE
15 years 5 months ago
Taxonomy of Neural Transfer Functions
The choice of transfer functions may strongly influence complexity and performance of neural networks used in classification and approximation tasks. A taxonomy of activation an...
Wlodzislaw Duch, Norbert Jankowski