• 41 Citations
  • 3 h-Index
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Fingerprint Dive into the research topics where Wen-Jong Chen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Particle swarm optimization (PSO) Engineering & Materials Science
Injection molding Engineering & Materials Science
Wet etching Engineering & Materials Science
Acoustic waves Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Sensors Engineering & Materials Science
Membranes Engineering & Materials Science
Extrusion Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2001 2019

  • 41 Citations
  • 3 h-Index
  • 14 Article
  • 10 Conference contribution
  • 4 Conference article
  • 1 Chapter

Using deep principal components analysis-based neural networks for fabric pilling classification

Yang, C. S., Lin, C. J. & Chen, W. J., 2019 May, In : Electronics (Switzerland). 8, 5, 474.

Research output: Contribution to journalArticle

Open Access
Principal component analysis
Neural networks
Support vector machines
Particle swarm optimization (PSO)
Surface roughness
1 Citation (Scopus)

Optimization design of a gating system for sand casting aluminium A356 using a Taguchi method and multi-objective culture-based QPSO algorithm

Chen, W-J., Lin, C. X., Chen, Y. T. & Lin, J. R., 2016 Apr 1, In : Advances in Mechanical Engineering. 8, 4, p. 1-14 14 p.

Research output: Contribution to journalArticle

Aluminum castings
Taguchi methods
Analysis of variance (ANOVA)
3 Citations (Scopus)
Linear Motor
Linear motors
Permanent Magnet
Particle swarm optimization (PSO)

Finite element analysis and mold design of forging process of highway bicycle pedal

Chen, D. C., Chen, W. J., Hong, T. L., Chen, S. H., Lin, Y. X. & Tsai, M. J., 2014 Jan 7, Advances in Materials and Processing Technologies XV. p. 63-69 7 p. (Materials Science Forum; vol. 773-774).

Research output: Chapter in Book/Report/Conference proceedingConference contribution