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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Bibliografiska uppgifter

Huvudupphov:	Zijian Cai, Guolin Feng, Qiguang Wang
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2023-11-01
Serie:	Atmosphere
Ämnen:	chaotic sequence particle swarm optimization algorithm time-mode attention mechanism long short-term memory Lorenz system
Länkar:	https://www.mdpi.com/2073-4433/14/11/1696
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