253 search results - page 6 / 51 » A Combined Neural and Genetic Learning Algorithm |
129
click to vote
IWANN
2001
Springer
15 years 6 months ago
2001
Springer
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
123
click to vote
GECCO
2003
Springer
15 years 7 months ago
2003
Springer
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
101
click to vote
GECCO
2005
Springer
15 years 7 months 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...
133
Voted
ECML
2003
Springer
15 years 7 months ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
129
click to vote
ICARCV
2008
IEEE
15 years 8 months ago
2008
IEEE
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...