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IJCNN
2000
IEEE
14 years 1 months ago
Sensitivity Analysis for Conic Section Function Neural Networks
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
Lale Özyilmaz, Tülay Yildirim
CSREAESA
2006
13 years 10 months ago
An Efficient Design of High Speed Network Security Platform using Network Processor
: The explosive growth of internet traffic and the increasing complexity of the functions performed by network nodes have given rise to a new breed of programmable micro-processors...
Yong-Sung Jeon, Sang-Woo Lee, Ki-Young Kim
BIB
2007
139views more  BIB 2007»
13 years 9 months ago
Petri net modelling of biological networks
Mathematical modelling is increasingly used to get insights into the functioning of complex biological networks. In this context, Petri nets (PNs) have recently emerged as a promi...
Claudine Chaouiya
ICANN
2009
Springer
14 years 3 months ago
Almost Random Projection Machine
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...
Wlodzislaw Duch, Tomasz Maszczyk
SIMUTOOLS
2008
13 years 10 months ago
SIMCAN: a SIMulator framework for computer architectures and storage networks
This paper presents an OMNeT-based Framework to simulate large complex storage networks, with its corresponding underlying subsystems (I/O, Networking, etc.). With this Framework,...
Alberto Nuñez, Javier Fernández, Jos...