Research and analysis on the coordination mechanism of financial innovation and economic growth based on BP neural network-Reference-Cited by-同舟云学术

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Research and analysis on the coordination mechanism of financial innovation and economic growth based on BP neural network

Published:2019-11-22 Issue:5 Volume:37 Page:6177-6189
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Bo Wang¹²³,Tianyu Fan¹,Zhiyong Li¹,Xiangtian Nie¹²³

Affiliation:

1. School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, Henan, China

2. Collaborative Innovation Center of Water Resources Efficient Utilization and Support Engineering, Zhengzhou, Henan, China

3. Henan Key Laboratory of Water Environment Simulation and Treatment, Zhengzhou, Henan, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference25 articles.

1. SOM-BP Neural Network-Based Financial Early-Warning for Listed Companies;Hong;Journal of Computational & Theoretical Nanoscience,2016

2. Jia J. , Financial Time Series Prediction Based on BP Neural Network Applied Mechanics and Materials, 631-632 (2014), 4.

3. Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model;Qiu;Plos One,2016

4. Volatility and Market Risk of Rubber Price in Malaysia: Pre- and Post-Global Financial Crisis;Goh;Journal of Quantitative Economics,2016

5. Decoupling of nonferrous metal consumption from economic growth in China Environment;Liu;Development and Sustainability,2016

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1. Intelligent BiLSTM-Attention-IBPNN Method for Anomaly Detection in Financial Auditing;IEEE Access;2024

2. Research on the coordination of fiscal structure and high-quality economic development: An empirical analysis with the example of Anhui province in China;PLOS ONE;2023-06-15

3. An Optimized BP Neural Network Model and Its Application in the Credit Evaluation of Venture Loans;Computational Intelligence and Neuroscience;2022-05-02

4. AI in Finance: Challenges, Techniques, and Opportunities;ACM Computing Surveys;2022-02-03

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