Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Usage of eigenvector methods to improve reliable classifier for Doppler ultrasound signals
Computers in Biology and Medicine
Multiclass support vector machines for diagnosis of erythemato-squamous diseases
Expert Systems with Applications: An International Journal
Support vector machines for detection of electrocardiographic changes in partial epileptic patients
Engineering Applications of Artificial Intelligence
Decision support systems for time-varying biomedical signals: EEG signals classification
Expert Systems with Applications: An International Journal
Analysis of EEG signals by implementing eigenvector methods/recurrent neural networks
Digital Signal Processing
Automated diagnostic systems: arterial disorders detection
ACS'08 Proceedings of the 8th conference on Applied computer scince
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ANN models are computational modeling tools that have recently emerged and found extensive acceptance in many disciplines for modeling complex real-world problems. ANNs produce complicated nonlinear models relating the inputs (the independent variables ...