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» On the use of spiking neural network for EEG classification
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IEAAIE
2004
Springer
14 years 2 months ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
BMCBI
2004
205views more  BMCBI 2004»
13 years 8 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
TNN
2008
143views more  TNN 2008»
13 years 8 months ago
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
SBRN
1998
IEEE
14 years 28 days ago
Implementation of a Probabilistic Neural Network for Multi-spectral Image Classification on an FPGA based Custom Computing Machi
As the demand for higher performance computers for the processing of remote sensing science algorithms increases, the need to investigate new computing paradigms is justified. Fie...
Marco A. Figueiredo, Clay Gloster
IJCNN
2006
IEEE
14 years 2 months ago
Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification
—Signatures continue to be an important biometric for authenticating the identity of human beings. This paper presents an effective method to perform off-line signature verificat...
Stephane Armand, Michael Blumenstein, Vallipuram M...