Search Results for author: Azarakhsh Jalalvand

Found 4 papers, 2 papers with code

PyRCN: A Toolbox for Exploration and Application of Reservoir Computing Networks

2 code implementations8 Mar 2021 Peter Steiner, Azarakhsh Jalalvand, Simon Stone, Peter Birkholz

In this paper, we show how to uniformly describe RCNs with small and clearly defined building blocks, and we introduce the Python toolbox PyRCN (Python Reservoir Computing Networks) for optimizing, training and analyzing RCNs on arbitrarily large datasets.

Time Series Time Series Prediction

Cluster-based Input Weight Initialization for Echo State Networks

1 code implementation8 Mar 2021 Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz

Echo State Networks (ESNs) are a special type of recurrent neural networks (RNNs), in which the input and recurrent connections are traditionally generated randomly, and only the output weights are trained.

Cannot find the paper you are looking for? You can Submit a new open access paper.