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Intelligent Generation of Evolutionary Series in a Time‐Variant Physical System via Series Pattern Recognition

Intelligent generation of time‐variant control series remains the critical challenge for acquiring the desired system evolution, due to the difficulties in perceiving temporal correlation and conducting appropriate feedback propagation. A machine learning (ML) algorithm named time‐series generative...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Chao Liang, Hailin Jiang, Shaopeng Lin, Huashan Li, Biao Wang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wiley 2021-02-01
Schriftenreihe:Advanced Intelligent Systems
Schlagworte:
accurate generation
distribution patterns
inverse design
machine learning
time series
Online-Zugang:https://doi.org/10.1002/aisy.202000172
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