Based on the Improved PSO-TPA-LSTM Model Chaotic Time Series Prediction

In order to enhance the prediction accuracy and computational efficiency of chaotic sequence data, issues such as gradient explosion and the long computation time of traditional methods need to be addressed. In this paper, an improved Particle Swarm Optimization (PSO) algorithm and Long Short-Term M...

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Bibliografiske detaljer

Principais autores:	Zijian Cai, Guolin Feng, Qiguang Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2023-11-01
Serier:	Atmosphere
Fag:	chaotic sequence particle swarm optimization algorithm time-mode attention mechanism long short-term memory Lorenz system
Online adgang:	https://www.mdpi.com/2073-4433/14/11/1696
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