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» Functional preprocessing for multilayer perceptrons
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IJCNN
2006
IEEE
14 years 1 months ago
TempUnit: A bio-inspired neural network model for signal processing
– We have developed and tested a novel artificial neural network for the processing of temporal signals. The working of the units (TempUnit) is based on the mechanism of temporal...
Olivier F. Manette, Marc A. Maier
IJCNN
2007
IEEE
14 years 1 months ago
A Functional Link Network With Ordered Basis Functions
—A procedure is presented for selecting and ordering the polynomial basis functions in the functional link net (FLN). This procedure, based upon a modified Gram Schmidt orthonorm...
Saurabh Sureka, Michael T. Manry
EPIA
2005
Springer
14 years 27 days ago
Automatic Detection of Meddies Through Texture Analysis of Sea Surface Temperature Maps
Abstract. A new machine learning approach is presented for automatic detection of Mediterranean water eddies from sea surface temperature maps of the Atlantic Ocean. A pre-processi...
Marco Castellani, Nuno C. Marques
CSREAESA
2004
13 years 8 months ago
CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
Howard E. Michel, David Rancour, Sushanth Iringent...
CORR
2010
Springer
232views Education» more  CORR 2010»
13 years 7 months ago
Application of Statistical Features in Handwritten Devnagari Character Recognition
In this paper a scheme for offline Handwritten Devnagari Character Recognition is proposed, which uses different feature extraction methodologies and recognition algorithms. The pr...
Sandhya Arora, Debotosh Bhattacharjee, Mita Nasipu...