247 search results - page 12 / 50 » A General Framework for Encoding and Evolving Neural Network... |
GECCO
2009
Springer
14 years 22 hour ago
2009
Springer
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
CEC
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— In this paper we describe simulation of autonomous robots controlled by recurrent neural networks, which are evolved through indirect encoding using HyperNEAT algorithm...
IJON
2008
13 years 7 months ago
2008
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
WACV
2007
IEEE
14 years 1 months ago
2007
IEEE
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...