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» On the Use of Evidence in Neural Networks
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NIPS
1994
15 years 2 months ago
Real-Time Control of a Tokamak Plasma Using Neural Networks
In this paper we present results from the first use of neural networks for real-time control of the high temperature plasma in a tokamak fusion experiment. The tokamak is currentl...
Christopher M. Bishop
ICONIP
2010
14 years 11 months ago
Practical Surface EMG Pattern Classification by Using a Selective Desensitization Neural Network
Real-time pattern classification of electromyogram (EMG) signals is significant and useful for developing prosthetic limbs. However, the existing approaches are not practical enoug...
Hiroshi Kawata, Fumihide Tanaka, Atsuo Suemitsu, M...
CORR
2011
Springer
200views Education» more  CORR 2011»
14 years 8 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
IJCNN
2000
IEEE
15 years 6 months ago
Fog Forecasting Using Self Growing Neural Network 'CombNET-II: ' A Solution for Imbalanced Training Sets Problem
This paper proposes a method to solve problem that comes with imbalanced training sets which is often seen in the practical applications. We modi ed Self Growing Neural Network Co...
Anto Satriyo Nugroho, Susumu Kuroyanagi, Akira Iwa...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 7 months ago
Co-evolving recurrent neurons learn deep memory POMDPs
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
Faustino J. Gomez, Jürgen Schmidhuber