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ISCAS
2005
IEEE
154views Hardware» more  ISCAS 2005»
15 years 9 months ago
Back propagation learning of neural networks with chaotically-selected affordable neurons
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
Yoko Uwate, Yoshifumi Nishio
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
15 years 10 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
EUSFLAT
2009
169views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Decentralized Adaptive Fuzzy-Neural Control of an Anaerobic Digestion Bioprocess Plant
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...
Ieroham S. Baruch, Rosalba Galvan-Guerra
ICRA
1998
IEEE
166views Robotics» more  ICRA 1998»
15 years 8 months ago
Learning Techniques in a Dataglove Based Telemanipulation System for the DLR Hand
We present a setup to control a four- nger anthropomorphic robot hand using a dataglove. To be able to accurately use the dataglove we implemented a nonlinear learning calibration...
Max Fischer, P. Patrick van der Smagt, Gerd Hirzin...
COMPSAC
2007
IEEE
15 years 10 months ago
Decision Support for Dynamic Adaptation of Business Systems Based on Feature Binding Analysis
Dynamic evolution has been an essential requirement for more and more business systems which attempt to provide 7(days) x 24(hours) availability and flexible adaptability on the c...
Liwei Shen, Xin Peng, Wenyun Zhao