Runoff time series prediction using LSTM dynamic neural network optimized by logistic chaotic mapping chicken swarm algorithm

Runoff time series prediction using LSTM dynamic neural network optimized by logistic chaotic mapping chicken swarm algorithm

An algorithm, named long short-term memory (LSTM)-logistic chaos mapping chicken swarm algorithm (LCCSA), is proposed for initializing the weights and thresholds of LSTM neural networks using the Logistic chaotic mapping chicken swarm algorithm (CSA). This algorithm aims to improve mid- to long-term...

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Bibliographic Details
Main Authors: Wenyu Yang, Junfeng Li, XueGe Gu, Wenying Qu, Chengxiao Ma, Xueting Feng
Format: Article
Language:English
Published: IWA Publishing 2023-09-01
Series:Journal of Water and Climate Change
Subjects:
csa
chaotic mapping
lstm
lstm-lccsa
mid- to long-term runoff prediction
Online Access:http://jwcc.iwaponline.com/content/14/9/2935

Internet

http://jwcc.iwaponline.com/content/14/9/2935

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