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ISNN
2005
Springer
13 years 10 months ago
A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories
Built on the theories of biological neural network, artificial neural network methods have shown many significant advantages. However, the memory space in an artificial neural chip...
Zihong Liu, Zhihua Wang, Guolin Li, Zhiping Yu
CBMS
2007
IEEE
13 years 5 months ago
A Time-Frequency Based Method for the Detection of Epileptic Seizures in EEG Recordings
A novel three-stage method for the analysis of electroencephalographic (EEG) signals, concerning epileptic seizures, is proposed. First, segments of the EEG signals are analyzed u...
Alexandros T. Tzallas, Markos G. Tsipouras, Dimitr...
FLAIRS
2004
13 years 6 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
BMCBI
2010
118views more  BMCBI 2010»
13 years 5 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
IJAR
2006
133views more  IJAR 2006»
13 years 5 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....