The code in this repository for paper "Convolutional Multi-timescale Echo State Network" accepted by IEEE Transactions on Cybernetics.
- Keras 2.0 and above
- tensorflow 0.4 and above
The 18 MTS(Multivariate Time Series) benchmark data sets can download from link. The verification code is pi8u. They are collected from different repository, such as UCI, UCR and so on. These benchmark data sets come from various fields and have various input ranges and different numbers of classes, variables, and instances. Detail information of each data set is shown in following Fig.
And the folder datasets contain a demo dataset ECG . The file ECG.p is a list of three numpy arrays with [samples, lables, original_lengths]. Meanwhile,
samples.shape = (number of instances, time length, number of variables)
labels.shape = (number of instances,)
original_lengths.shape = (number of instances,)
You can run the command
python ConvMESN.py
to test the model ConvMESN.
@ARTICLE{convolutional2019Ma,
author={Q. {Ma} and E. {Chen} and Z. {Lin} and J. {Yan} and Z. {Yu} and W. W. Y. {Ng}},
journal={IEEE Transactions on Cybernetics},
title={Convolutional Multitimescale Echo State Network},
year={2019},
pages={1-13},
ISSN={2168-2267},
}