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Fundamentals of neural networks
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The article was published on 1993-01-01 and is currently open access. It has received 1921 citations till now. The article focuses on the topics: Time delay neural network & Physical neural network.read more
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A comparative study of wavelet families for classification of wrist motions
TL;DR: A comparative study of different wavelet families for analysis of wrist motions from electromyography (EMG) signals finds that 'Biorthogonal' and 'Coiflets' wavelets families are more suitable for accurate classification of EMG signals of different wrist motions.
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Modeling Markov Switching ARMA-GARCH Neural Networks Models and an Application to Forecasting Stock Returns
TL;DR: The results suggest that the fractionally integrated and asymmetric power counterparts of Gray's MS-GARCH model provided promising results, while the best results are obtained for their neural network based counterparts.
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Lung cancer survival prediction using ensemble data mining on SEER data
TL;DR: An on-line lung cancer outcome calculator for estimating the risk of mortality after 6 months, 9 months, 1 year, 2 year and 5 years of diagnosis is developed, for which a smaller non-redundant subset of 13 attributes was carefully selected using attribute selection techniques, while trying to retain the predictive power of the original set of attributes.
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Prediction of the geomagnetic storm associated Dst index using an artificial neural network algorithm
TL;DR: The neural network model suggests that the minimum Dst of a storm is significant in the storm recovery process, and more than 90% of the observed Dst variance is predictable in the model.
Theory and Methodology A self-organizing neural network approach for the single AGV routing problem
Mustafa Soylu,Sinan Kayaligil +1 more
TL;DR: An artificial neural network algorithm based on Kohonen's self-organizing feature maps is developed to solve the special form of Automated Guided Vehicle routing problem, and several improvements on the basic features of self- Organizing maps are proposed.