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Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V
Research article (Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2016) · cited 25× · AI/ML
Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V
Summary
Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V is a scholarly article[1].
Key Facts
Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-a-hybrid-taguchi-entropy-weight-based-gra-method-to-optimize-and-neural-network-approach-to-predict-the-m
MLA“Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-a-hybrid-taguchi-entropy-weight-based-gra-method-to-optimize-and-neural-network-approach-to-predict-the-m.
BibTeX@misc{4ortxyz_application-of-a-hybrid-taguchi-entropy-weight-based-gra-method-to-optimize-and-neural-network-approach-to-predict-the-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-a-hybrid-taguchi-entropy-weight-based-gra-method-to-optimize-and-neural-network-approach-to-predict-the-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of a hybrid Taguchi-entropy weight-based GRA method to optimize and neural network approach to predict the machining responses in ultrasonic machining of Ti–6Al–4V — https://4ort.xyz/entity/application-of-a-hybrid-taguchi-entropy-weight-based-gra-method-to-optimize-and-neural-network-approach-to-predict-the-m (retrieved 2026-05-24)
