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» Recurrent neural networks in systems identification
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GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
13 years 11 months ago
Stochastic training of a biologically plausible spino-neuromuscular system model
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
Stanley Phillips Gotshall, Terence Soule
JUCS
2006
95views more  JUCS 2006»
13 years 7 months ago
Fault Tolerant Neural Predictors for Compression of Sensor Telemetry Data
: When dealing with remote systems, it is desirable that these systems are capable of operation within acceptable levels with minimal control and maintenance. In terms or transmiss...
Rajasvaran Logeswaran
ISCAS
2005
IEEE
117views Hardware» more  ISCAS 2005»
14 years 1 months ago
A VLSI model of the bat dorsal nucleus of the lateral lemniscus for azimuthal echolocation
— The dorsal nucleus of the lateral lemniscus (DNLL) is a distinct group of auditory cells that play a strategic role in azimuthal echolocation in the bat. Dominated by EI-type c...
Rock Z. Shi, Timothy K. Horiuchi
JCNS
2010
121views more  JCNS 2010»
13 years 2 months ago
Pattern orthogonalization via channel decorrelation by adaptive networks
The early processing of sensory information by neuronal circuits often includes a reshaping of activity patterns that may facilitate the further processing of stimulus representat...
Stuart D. Wick, Martin T. Wiechert, Rainer W. Frie...
TIFS
2008
102views more  TIFS 2008»
13 years 7 months ago
Use of Identification Trial Statistics for the Combination of Biometric Matchers
Combination functions typically used in biometric identification systems consider as input parameters only those matching scores which are related to a single person in order to de...
Sergey Tulyakov, Venu Govindaraju