The usefulness of an artificial analog neural network is closely bound to its trainability. This paper introduces a new analog neural network architecture using weights determined...
Johannes Schemmel, Karlheinz Meier, Felix Schü...
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...
Signature identification and verification has been a topic of interest and importance for many years in the area of biometrics. In this paper we present an effective method to per...
Stephane Armand, Michael Blumenstein, Vallipuram M...
In recent years, several trust and reputation models have been proposed to enhance the security of mobile ad hoc networks. However, they either fail to capture evidence of trustwo...