Research on Prediction Model Algorithm Based on Long Short Term Memory (LSTM) Neural Network and XGBoost-Reference-Cited by-同舟云学术

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Research on Prediction Model Algorithm Based on Long Short Term Memory (LSTM) Neural Network and XGBoost

Published:2023-12-29 Issue: Volume:abs/2202.00557 Page:1513-1518
ISSN:
Container-title:2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)
language:
Short-container-title:

Author:

Jiang Yongyi¹,Sun Minqiu¹,Du Anke¹

Affiliation:

1. Nanjing University of Information Science & Technology,Nanjing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441787/10441797/10442559.pdf?arnumber=10442559

Reference14 articles.

1. Requirements for Representing Data-Driven Business Models-Towards Extending the Business Model Canvas;Kuhne

2. Wordle is NP-hard;Lokshtanov;Fun with Algorithms,2022

3. Finding the optimal human strategy for Wordle using maximum correct letter probabilities and reinforcement learning;Anderson;ArXiv,2022

4. Explore the difficulty of words and its influential attributes based on the Wordle game;Liu;ArXiv,2023

5. Selecting Seed Words for Wordle using Character Statistics;Silva;ArXiv,2022

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