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» Learning Mappings with Neural Network
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112
Voted
NN
2007
Springer
173views Neural Networks» more  NN 2007»
15 years 1 months ago
An enhanced self-organizing incremental neural network for online unsupervised learning
An enhanced self-organizing incremental neural network (ESOINN) is proposed to accomplish online unsupervised learning tasks. It improves the self-organizing incremental neural ne...
Shen Furao, Tomotaka Ogura, Osamu Hasegawa
FLAIRS
2001
15 years 3 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
138
Voted
NN
2002
Springer
115views Neural Networks» more  NN 2002»
15 years 1 months ago
A self-organising network that grows when required
The ability to grow extra nodes is a potentially useful facility for a self-organising neural network. A network that can add nodes into its map space can approximate the input sp...
Stephen Marsland, Jonathan Shapiro, Ulrich Nehmzow
110
Voted
ML
1998
ACM
117views Machine Learning» more  ML 1998»
15 years 1 months ago
Learning Team Strategies: Soccer Case Studies
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy, but may behave di erently due to position-dependent inputs. All...
Rafal Salustowicz, Marco Wiering, Jürgen Schm...
125
Voted
ISCAS
2006
IEEE
119views Hardware» more  ISCAS 2006»
15 years 7 months ago
Using self-organizing maps to control physical robots with omnidirectional drives
— In many application areas, robots most suitably employ classical PID controllers and the like. In the field of autonomous mobile robots, however, further adaptation features a...
Ralf Salomon, Hagen Burchardt, T. Schulz