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» Training Methods for Adaptive Boosting of Neural Networks
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CDC
2009
IEEE
166views Control Systems» more  CDC 2009»
15 years 2 months ago
Composite adaptation for neural network-based controllers
—With the motivation of using more information to update the parameter estimates to achieve improved tracking performance, composite adaptation that uses both the system tracking...
Parag M. Patre, Shubhendu Bhasin, Zachary D. Wilco...
IJON
2006
112views more  IJON 2006»
14 years 9 months ago
Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network
This paper proposes a novel and successful method for recognizing palmprint based on radial basis probabilistic neural network (RBPNN) proposed by us. The RBPNN is trained by the ...
Li Shang, De-Shuang Huang, Ji-Xiang Du, Chun-Hou Z...
CIBCB
2007
IEEE
15 years 1 months ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay
ICASSP
2011
IEEE
14 years 1 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
CIS
2005
Springer
15 years 3 months ago
Distance Protection of Compensated Transmission Line Using Computational Intelligence
A new approach for protection of transmission line including TCSC is presented in this paper. The proposed method includes application of Fuzzy Neural Network for distance relaying...
S. R. Samantaray, Pradipta K. Dash, Ganapati Panda...