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Found 4 papers, 0 papers with code
Estimation of Correlation Matrices from Limited time series Data using Machine Learning
Predicting correlation matrices from partial time series information of a few nodes characterizes the spatio-temporal dynamics of the entire underlying system.
Machine learning for the diagnosis of early stage diabetes using temporal glucose profiles
Here we apply the machine learning (ML) for the diagnosis of early stage diabetes, which is known as a challenging task in medicine.
Deep Learning of Chaos Classification
Furthermore, we use the neural network to successfully test the dynamics of discrete maps in different dimensions, e. g. the one-dimensional logistic map and a three-dimensional discrete version of the Lorenz system.
Fast frequency discrimination and phoneme recognition using a biomimetic membrane coupled to a neural network
When excited by sound, this membrane responds with a frequency-dependent displacement pattern that is detected and identified by the auditory hair cells combined with the human neural system.
