A recurrent sigma pi sigma neural network
Abstract In this paper, a novel recurrent sigma‒sigma neural network (RSPSNN) that contains the same advantages as the higher-order and recurrent neural networks is proposed. The batch gradient algorithm is used to train the RSPSNN to search for the optimal weights based on the minimal mean squared...
Saved in:
Main Authors: | Fei Deng, Shibin Liang, Kaiguo Qian, Jing Yu, Xuanxuan Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-024-84299-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Adaptive Trajectory Tracking Algorithm for a Quadrotor Based on Backstepping and the Sigma-Pi Neural Network
by: Zhiming Chen, et al.
Published: (2019-01-01) -
Homomorphism and sigma polynomials
by: Richard Alan Gillman
Published: (1995-01-01) -
Six Sigma for Financial Services : how leading companies are driving results using lean, six sigma, and process management /
by: Hayler, Rowland
Published: (2007) -
SIGMA: Wireless System with Geolocation for Environmental Monitoring
by: Christian Tipantuña, et al.
Published: (2025-01-01) -
Soft theorems for two-scalar sigma models
by: Karol Kampf, et al.
Published: (2025-01-01)