Two-Layer Intelligent Learning Control Using Output Recurrent Fuzzy Neural Long Short-Term Memory Broad Learning System With RMSprop

Two-Layer Intelligent Learning Control Using Output Recurrent Fuzzy Neural Long Short-Term Memory Broad Learning System With RMSprop

Achieving precise and robust control in dynamic environments remains a challenge, particularly in nonlinear and uncertain systems. This paper proposes a novel two-layer intelligent learning control framework to address these issues, integrating an output recurrent fuzzy neural long short-term memory...

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Bibliographic Details
Main Authors: Ali Rospawan, Ching-Chih Tsai, Chi-Chih Hung
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Extrusion barrel
intelligent control
LSTM
output recurrent fuzzy broad learning system
root mean square propagation (RMSprop)
semiconductor heating oven
Online Access:https://ieeexplore.ieee.org/document/10896635/
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https://ieeexplore.ieee.org/document/10896635/

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