A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting

Author:

Long Lifan,Guo Chenggang,Xiong Xin,Peng HongORCID,Wang Jun

Funder

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference54 articles.

1. Reservoir computing approaches to recurrent neural network training;Lukovševičious;Comput. Sci. Rewiew,2009

2. The Each State Approach To Analysing and Training Recurrent Neural Networks - with an Erratum Note;Jaeger,2001

3. Harnessing nonlinear: predicting chaotic systems and saving energy in wireless communication;Jaeger;Science,2004

4. Multi-reservoir echo state networks with sequence resampling for nonlinear time-series prediction;Li;Neurocomputing,2022

5. Reservoir computing for emotion valence discrimination from EEG signals;Bozhkov;Neurocomputing,2017

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