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» Training Methods for Adaptive Boosting of Neural Networks
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BMCBI
2008
138views more  BMCBI 2008»
14 years 10 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
IJON
1998
140views more  IJON 1998»
14 years 9 months ago
Comment on "Discrete-time recurrent neural network architectures: A unifying review"
Paper [1] aimed at providing a unified presentation of neural network architectures. We show in the present comment (i) that the canonical form of recurrent neural networks presen...
Léon Personnaz, Gérard Dreyfus
ICAT
2006
IEEE
15 years 3 months ago
Fault Diagnosis System for Turbo-Generator Set Based on Fuzzy Neural Network
When a fault such as unbalance occurs in a turbo-generator set, sensors should be put on its bearing to detect vibration signals for extracting fault symptoms, but the relationshi...
Ping Yang, Qing-miao Wang
ISM
2005
IEEE
212views Multimedia» more  ISM 2005»
15 years 3 months ago
Neural Network Based Framework For Goal Event Detection In Soccer Videos
In this paper, a neural network based framework for semantic event detection in soccer videos is proposed. The framework provides a robust solution for soccer goal event detection...
Kasun Wickramaratna, Min Chen, Shu-Ching Chen, Mei...
IJCNN
2000
IEEE
15 years 2 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan