Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction-Reference-Cited by-同舟云学术

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Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction

Published:2021-11-05 Issue: Volume: Page:
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Zhang Hongye,Yang Cuili,Qiao Junfei^ORCID

Funder

National Natural Science Foundation of China

Major Science and Technology Program for Water Pollution Control and Treatment

National Key Research and Development Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-021-10672-x.pdf

Reference55 articles.

1. Ragulskis M, Lukoseviciute K (2009) Non-uniform attractor embedding for time series forecasting by fuzzy inference systems. Neurocomputing 72(10):2618–2626. https://doi.org/10.1016/j.neucom.2008.10.010

2. Hu J, Wang X, Zhang Y, Zhang D, Zhang M, Xue J (2020) Time series prediction method based on variant LSTM recurrent neural network. Neural Process Lett 52(2):1485–1500. https://doi.org/10.1007/s11063-020-10319-3

3. Qiao J, Wang L, Yang C, Gu K (2018) Adaptive Levenberg-Marquardt algorithm based echo state network for chaotic time series prediction. IEEE Access 6:10720–10732. https://doi.org/10.1109/ACCESS.2018.2810190

4. Li D, Han M, Wang J (2012) Chaotic time series prediction based on a novel Robust echo state network. IEEE Trans Neural Netw Learn Syst 23(5):787–799

5. Shi Z, Han M (2007) Support Vector echo-state machine for chaotic time-series prediction. IEEE Trans Neural Netw 18(2):359–372

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