Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction

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Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/51801

Title:	Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction
Authors:	Chiu, Sheng-Min Chen, Yi-Chung Kuo, Cheng-Ju Hung, Li-Chun Hung, Min-Hsiung Chen, Chao-Chun Lee, Chiang
Contributors:	資訊工程學系
Keywords:	Deep-learning model (DLM) framework lightweight model radial basis function (RBF) tool-wear prediction (TWPred)
Date:	2022
Issue Date:	2023-03-23 12:42:50 (UTC+8)
Relation:	IEEE Transactions on Instrumentation and Measurement卷 71 2022 論文號碼 2506711
Appears in Collections:	[Department of Computer Science and Information Engineering] journal articles

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