Visual recognition and prediction analysis of China’s real estate index and stock trend based on CNN-LSTM algorithm optimized by neural networks

Ningyan Chen

Open source

DOI: 10.1371/journal.pone.0282159
Published: 2023-02-24
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0282159,
  title = {Visual recognition and prediction analysis of China’s real estate index and stock trend based on CNN-LSTM algorithm optimized by neural networks},
  author = {Ningyan Chen},
  year = {2023},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0282159},
  url = {https://doi.org/10.1371/journal.pone.0282159}
}

RIS

TY  - JOUR
TI  - Visual recognition and prediction analysis of China’s real estate index and stock trend based on CNN-LSTM algorithm optimized by neural networks
AU  - Ningyan Chen
PY  - 2023
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0282159
UR  - https://doi.org/10.1371/journal.pone.0282159
ER  -

APA

Chen, N. (2023). Visual recognition and prediction analysis of China’s real estate index and stock trend based on CNN-LSTM algorithm optimized by neural networks. PLOS ONE. https://doi.org/10.1371/journal.pone.0282159

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crossref · retrieved 2026-09-25T16:40:49.997Z