A Deep Neural Network Based Model For Predicting Remanufacturing Cost Of Eol Products

• Author(s):

  Jyoti Bhayal | Prof. Pankaj Raghuwanshi

• Keywords:

  Remanufacturing Cost Prediction, End Of Life (EOL), Deep Learning, Long Short Term Memory (LSTM),Mean Absolute Percentage Error (MAPE).

• Abstract:

  Remanufacturing Cost Prediction Is Conducive To Visually Judging The Remanufacturability Of End-of-life (EOL) Products From Economic Perspective. However, Due To The Randomness, Non-linearity Of Remanufacturing Cost And The Lack Of Sufficient Data Samples.

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Other Details

• Paper id:

  IJSARTV10I1099443

• Published in:

  Volume: 10 Issue: 10 October 2024

• Publication Date:

  2024-10-01

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