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NPL
2002
145views more  NPL 2002»
13 years 7 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu
ADCM
2005
163views more  ADCM 2005»
13 years 7 months ago
Matrix-valued radial basis functions: stability estimates and applications
Radial basis functions (RBFs) have found important applications in areas such as signal processing, medical imaging, and neural networks since the early 1980's. Several appli...
Svenja Lowitzsch
ESANN
2001
13 years 8 months ago
Prediction of foreign exchange rates by neural network and fuzzy system based techniques
: Forecasting currency exchange rates are an important financial problem that is receiving increasing attention especially because of its intrinsic difficulty and practical applica...
Vassilis S. Kodogiannis, A. Lolis
CORR
1999
Springer
111views Education» more  CORR 1999»
13 years 7 months ago
Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer
The mortality related to cervical cancer can be substantially reduced through early detection and treatment. However, current detection techniques, such as Pap smear and colposcop...
Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh, Reb...
ESANN
2007
13 years 8 months ago
Controlling complexity of RBF networks by similarity
Abstract. Using radial basis function networks for function approximation tasks suffers from unavailable knowledge about an adequate network size. In this work, a measuring techni...
Ulrich Rückert, Ralf Eickhoff