Liling Zeng

ORCID: 0000-0003-2604-600X
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About
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Research Areas
  • Energy Load and Power Forecasting
  • Stock Market Forecasting Methods
  • Grey System Theory Applications
  • Market Dynamics and Volatility
  • Currency Recognition and Detection
  • Energy, Environment, Economic Growth
  • Data Stream Mining Techniques
  • Time Series Analysis and Forecasting

South China Agricultural University
2022-2024

Abstract In the analysis of agricultural product price time series, detection abnormal fluctuation is primary task. Accurately judging prices will give policy support to government and also assist farmers increase production income. A deep convolutional neural network model based on series image(TSI) introduced identify under improved standard deviation-Slope judgment. Markov Transfer Field(MTF) method used transform pre-processed sparse one-dimensional into two-dimensional dense images, a...

10.21203/rs.3.rs-1652363/v1 preprint EN cc-by Research Square (Research Square) 2022-08-29
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