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IJON
2007
184views more  IJON 2007»
13 years 6 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
IAJIT
2010
215views more  IAJIT 2010»
13 years 5 months ago
Voice Disorders Identification Using Multilayer Neural Network
: In this paper we present a new method for voice disorders classification based on multilayer neural network. The processing algorithm is based on a hybrid technique which uses th...
Lotfi Salhi, Talbi Mourad, Adnene Cherif
JOCN
2010
84views more  JOCN 2010»
13 years 1 months ago
The Neural Basis for Spatial Relations
Studies in semantics traditionally focus on knowledge of objects. By contrast, less is known about how objects relate to each other. In an fMRI study, we tested the hypothesis tha...
Prin X. Amorapanth, Page Widick, Anjan Chatterjee
TIT
2002
89views more  TIT 2002»
13 years 6 months ago
Comparison of worst case errors in linear and neural network approximation
Sets of multivariable functions are described for which worst case errors in linear approximation are larger than those in approximation by neural networks. A theoretical framework...
Vera Kurková, Marcello Sanguineti
ENVSOFT
2008
115views more  ENVSOFT 2008»
13 years 6 months ago
Adaptive fuzzy modeling versus artificial neural networks
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...
Ralf Wieland, Wilfried Mirschel