Response to Sha’s comment on article titled ‘Investigative study on machinability aspects of unreinforced and reinforced PEEK composite machining using ANN model’
Source abstract
Abstract
This article adresses the issue of artificial neural network (ANN) training by limited number of samples as raised by Dr. Sha to predict the machinability aspects of unreinforced and reinforced PEEK composite machining. In view of this, the importance of ANN training with the samples obtained by performing the experiments as per factorial design of experiments with orthogonality property to capture the input-output relationship over an experimental region has been emphasized.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced machining processes and optimization · Non-Destructive Testing Techniques · Ultrasonics and Acoustic Wave Propagation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical and Electronics Engineering, B.V.B. College of Engineering and Technology, India
Department of Industrial and Production Engineering, B.V.B. College of Engineering and Technology, India,
Polytechnic School of Almadén, University of Castilla-La Mancha, Spain
Department of Mechanical Engineering, University of Aveiro, Portugal
References (5)
Show source-provided references
1. 10.1177/073168440708425910.1177/0731684407084259 ↗
2. 10.1177/089270570934931910.1177/0892705709349319 ↗
3. 10.1109/66.21692810.1109/66.216928 ↗
4. Schalkoff RB · 1997
5. Zurada M. · 1994