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CMUCM 2023C

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heatingma phoenix-ZY ccliu-u

Paper Abstract

Thesis Logic

  The overall idea and logical structure of the paper

RFAN

  The core structure of the RFAN network is a multivariate LSTM network, which we use to fit the residuals between the predicted and true values of the ARIMA model

Train Loss

  The Loss of RFAN model fitting residuals during training process

Diff Forecast Comparison

  The comparison between the predicted residuals of the RFAN model and the actual residuals

Volume Forecast Comparison

  The comparison between sales predicted by the RFAN model, sales predicted by the ARIMA model, and actual sales

Supporting Material Structure

  The file structure of git warehouse

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2023 CMUCM

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