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» Evolving neural network ensembles for control problems
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IDEAL
2004
Springer
13 years 11 months ago
DIVACE: Diverse and Accurate Ensemble Learning Algorithm
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...
Arjun Chandra, Xin Yao
EPS
1998
Springer
13 years 10 months ago
Dual Network Representation Applied to the Evolution of Neural Controllers
This paperpresentsa new approachto the evolutionof neuralnetworks. A linear chromosome combined with a grid-based representation of the network and a new crossover operator allow t...
João Carlos Figueira Pujol, Riccardo Poli
ICANN
2005
Springer
13 years 11 months ago
Evolving Modular Fast-Weight Networks for Control
Abstract. In practice, almost all control systems in use today implement some form of linear control. However, there are many tasks for which conventional control engineering metho...
Faustino J. Gomez, Jürgen Schmidhuber
EUROGP
1999
Springer
137views Optimization» more  EUROGP 1999»
13 years 10 months ago
Evolving Controllers for Autonomous Agents Using Genetically Programmed Networks
– This article presents a new approach to the evolution of controllers for autonomous agents. We propose the evolution of a connectionist structure where each node has an associa...
Arlindo Silva, Ana Neves, Ernesto Costa
GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
13 years 10 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...