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Found 5 papers, 1 papers with code
Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation
Entropy measures are effective features for time series classification problems.
Early heart disease prediction using hybrid quantum classification
Early prediction of heart disease is crucial for reducing heart morbidity and mortality.
Novel techniques for improving NNetEn entropy calculation for short and noisy time series
Firstly, this work investigates different methods of filling the reservoir with time series (signal) elements.
A Method for Estimating the Entropy of Time Series Using Artificial Neural Networks
Greater complexity in the time series leads to a higher classification accuracy and higher NNetEn values.
An improved LogNNet classifier for IoT application
In the age of neural networks and Internet of Things (IoT), the search for new neural network architectures capable of operating on devices with limited computing power and small memory size is becoming an urgent agenda.
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