default author photo

jingyao meng

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

59

TOTAL CITATIONS

0

Scholarly Papers (1)

Actions:
Email selected abstracts
1.

Interpretable BiLSTM–KAN Modeling of Tool Wear through Multi-source Signal Fusion

Number of pages: 25 Posted: 02 Oct 2025
Ning Yu, jingyao meng and Xiaochuan Zhang
affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 59 (970,490)

Abstract:

Loading...

Tool wear prediction, Multi-source signal fusion, BiLSTM-KAN hybrid modeling, SHAP-based feature selection, Attentional feature fusion, Stage-aware guided loss