Prediction of heavy metal content in multivariate chaotic time series based on LSTM Article Swipe

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Shengwei Wang , Tianlong Lou , Chengqi Zhang , Hao Ji , Yulin Zhan , Li Ping ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.5004/dwt.2020.25943

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Time Series

Computer Science

Statistics

Artificial Intelligence

Mathematics

Machine Learning

Mathematical Analysis

Paleontology

Concepts

Series (stratigraphy) Multivariate statistics Chaotic Content (measure theory) Time series Computer science Statistics Econometrics Artificial intelligence Mathematics Machine learning Geology Mathematical analysis Paleontology

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Type: article
Language: en
Landing Page: https://doi.org/10.5004/dwt.2020.25943
PDF: https://doi.org/10.5004/dwt.2020.25943
OA Status: bronze
Cited By: 4
References: 5
Related Works: 10
OpenAlex ID: https://openalex.org/W3093645490

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DOI: https://doi.org/10.5004/dwt.2020.25943

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Title: Prediction of heavy metal content in multivariate chaotic time series based on LSTM

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Type: article

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Language: en

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Publication year: 2020

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Publication date: 2020-09-01

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Authors: Shengwei Wang, Tianlong Lou, Chengqi Zhang, Hao Ji, Yulin Zhan, Li Ping

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Landing page: https://doi.org/10.5004/dwt.2020.25943

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Concepts: Series (stratigraphy), Multivariate statistics, Chaotic, Content (measure theory), Time series, Computer science, Statistics, Econometrics, Artificial intelligence, Mathematics, Machine learning, Geology, Mathematical analysis, Paleontology

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Cited by: 4

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