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» Learning fault-tolerance in Radial Basis Function Networks
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PR
2006
112views more  PR 2006»
13 years 7 months ago
RBF-based neurodynamic nearest neighbor classification in real pattern space
Superposition of radial basis functions centered at given prototype patterns constitutes one of the most suitable energy forms for gradient systems that perform nearest neighbor c...
Mehmet Kerem Müezzinoglu, Jacek M. Zurada
ICNS
2008
IEEE
14 years 1 months ago
Traffic Distribution Forecasting in Packet-Switching Networks
: Traffic distribution forecasting is an essential step in network planning for packet-switching networks. It is frequently necessary to forecast and develop an optimal network con...
Faramak Zandi
ISCIS
2005
Springer
14 years 27 days ago
Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks
Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization perfo...
Zeki Erdem, Robi Polikar, Nejat Yumusak, Fikret S....
ICDAR
2009
IEEE
13 years 5 months ago
Recognition of Handwritten Numerical Fields in a Large Single-Writer Historical Collection
This paper presents a segmentation-based handwriting recognizer and the performance that it achieves on the numerical fields extracted from a large single-writer historical collec...
Marius Bulacu, Axel Brink, Tijn van der Zant, Lamb...
IJON
2007
184views more  IJON 2007»
13 years 7 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen