An improved case-based reasoning method and its application to predict machining performance

Author:

Xu Longhua,Huang ChuanzhenORCID,Niu Jiahui,Li Chengwu,Wang Jun,Liu Hanlian,Wang Xiaodan

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference30 articles.

1. Asilturk I, Kahramanli H, El Mounayri H (2012) Prediction of cutting forces and surface roughness using artificial neural network (ANN) and support vector regression (SVR) in turning 4140 steel. Mater Sci Technol 28(8):980–986

2. Biswas S, Nidul S, Biswajit P, Leniency M (2014) Hybrid expert system using case based reasoning and neural network for classification. Biol Inspir Cogn Archit 9:57–70

3. Chakraborty S, Boral S (2017) A developed case-based reasoning system for machine tool selection. Benchmarking Int J 24(5):1364–1385

4. Chatterjee N, Campbell JA (1997) Interpolation as a means of fast adaptation in case-based problem solving. In Proceedings fifth german workshop on case-based reasoning, pp 65–74

5. Diaz F, Fdze-Riverola F, Corchado JM (2006) Gene-CBR: a case-based reasoning tool for cancer diagnosis using microarray datasets. Comput Intell 22(3–4):254–258

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