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» Evolving a neural network using dyadic connections
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CONNECTION
2004
134views more  CONNECTION 2004»
13 years 7 months ago
'Feeling' the flow of time through sensorimotor co-ordination
In this paper, we aim to design decision-making mechanisms for a simulated Khepera robot equipped with simple sensors, which integrates over time its perceptual experience in order...
Elio Tuci, Vito Trianni, Marco Dorigo
CEC
2008
IEEE
13 years 8 months ago
Regulation of gene regulation - smooth binding with dynamic affinity affects evolvability
Abstract-- Understanding the evolvability of simple differentiating multicellular systems is a fundamental problem in the biology of genetic regulatory networks and in computationa...
Johannes F. Knabe, Chrystopher L. Nehaniv, Maria J...
ESANN
2001
13 years 9 months ago
Rectified Gaussian distributions and the formation of local filters from video data
We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that...
Emilio Corchado, Darryl Charles, Colin Fyfe
NN
1998
Springer
13 years 7 months ago
Serial processing in human movement production
Abstract— This paper presents a study on exploiting the redundancy of a seven-link manipulator to evolve obstacle avoidance skill at the elbow, subjected to endeffector working ...
Joseph A. Doeringer, Neville Hogan
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving virtual creatures revisited
Thirteen years have passed since Karl Sims published his work on evolving virtual creatures. Since then, several novel approaches to neural network evolution and genetic algorithm...
Peter Krcah