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BMCBI
2008
123views more  BMCBI 2008»
14 years 12 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
ECAL
2005
Springer
15 years 5 months ago
(Co)Evolution of (De)Centralized Neural Control for a Gravitationally Driven Machine
Using decentralized control structures for robot control can offer a lot of advantages, such as less complexity, better fault tolerance and more flexibility. In this paper the ev...
Steffen Wischmann, Martin Hülse, Frank Pasema...
NN
2006
Springer
14 years 11 months ago
Use of a neuro-variational inversion for retrieving oceanic and atmospheric constituents from satellite ocean colour sensor: App
This paper presents a new development of the NeuroVaria method. NeuroVaria computes relevant atmospheric and oceanic parameters by minimizing the difference between the observed s...
Julien Brajard, Cédric Jamet, Cyril Moulin,...
EH
2005
IEEE
158views Hardware» more  EH 2005»
15 years 5 months ago
Hardware Evolution of Analog Circuits for In-situ Robotic Fault-Recovery
We present a method for evolving and implementing artificial neural networks (ANNs) on Field Programmable Analog Arrays (FPAAs). These FPAAs offer the small size and low power usa...
Dmitry Berenson, Nicolás S. Estévez,...
GLVLSI
1998
IEEE
124views VLSI» more  GLVLSI 1998»
15 years 4 months ago
Non-Refreshing Analog Neural Storage Tailored for On-Chip Learning
In this research, we devised a new simple technique for statically holding analog weights, which does not require periodic refreshing. It further contains a mechanism to locally u...
Bassem A. Alhalabi, Qutaibah M. Malluhi, Rafic A. ...