Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia.
Expert Systems with Applications(2019)
摘要
•A deep neuroevolution system is presented.•Our system is based on Probabilistic Model Building Genetic Programming approach.•Deep neural networks discovered by the system can diagnose heart rhythm problems.•Performance of the proposed network is evaluated on a physiological dataset.•Our network can outperform several machine learning algorithms in diagnosis.
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关键词
Physiological signal classification,Heart disease,Neuroevolution,Probabilistic grammar,Genetic programming,Deep neural network
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