Multilayered Cortical Learning Algorithm for Forecasting Time-Series Data with Probabilistically Changing Trends-Reference-Cited by-同舟云学术

Multilayered Cortical Learning Algorithm for Forecasting Time-Series Data with Probabilistically Changing Trends

Published:2023-07-01 Issue:4 Volume:27 Page:69-73
ISSN:1342-6230
Container-title:Journal of Signal Processing
language:en
Short-container-title:Journal of Signal Processing

Author:

Fujino Kazushi¹,Aoki Takeru²,Takadama Keiki¹,Sato Hiroyuki¹

Affiliation:

1. Graduate School of Informatics and Engineering, The University of Electro-Communications

2. Faculty of Engineering, Department of Information and Computer Technology, Tokyo University of Science

Publisher

Research Institute of Signal Processing, Japan

Subject

General Energy

Link

https://www.jstage.jst.go.jp/article/jsp/27/4/27_69/_pdf

Reference6 articles.

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2. [2] S. Hochreiter and J. Schmidhuber: Long short-term memory, Neural Computation, Vol. 9, No. 8, pp. 1735–1780, 1997.

3. [3] T. Aoki, K. Takadama and H. Sato: Adaptive synapse arrangement in cortical learning algorithm, JACIII, Vol. 25, No. 4, pp. 450–466, 2021.

4. [4] Y. Cui, S. Ahmad and J. Hawkins: Continuous online sequence learning with an unsupervised neural network model, Neural Computation, Vol. 28, No. 11, pp. 2474–2504, 2016.

5. [5] K. Fujino, T. Aoki, K. Takadama and H. Sato: Multi-layer cortical learning algorithm for trend changing time-series forecast, 2023 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2023), pp. 281–284, 2023.

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