Pages that link to "Item:Q733475"
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The following pages link to Study of the parameters in electrical discharge machining through response surface methodology approach (Q733475):
Displaying 8 items.
- Numerical simulation of powder mixed electric discharge machining (PMEDM) using finite element method (Q949490) (← links)
- Modeling and analysis of the causes of bullwhip effect in centralized and decentralized supply chain using response surface method (Q1630170) (← links)
- Modeling of EDM responses by support vector machine regression with parameters selected by particle swarm optimization (Q1630717) (← links)
- Multi-objective optimization of electrochemical discharge machining processes: a posteriori approach based on bird mating optimizer (Q1684339) (← links)
- Optimization of cryo-treated EDM variables using TOPSIS-based TLBO algorithm (Q1789135) (← links)
- Reliability-based EDM process parameter optimization using kriging model and sequential sampling (Q2045543) (← links)
- Evolutionary support vector regression algorithm applied to the prediction of the thickness of the chromium layer in a hard chromium plating process (Q2396453) (← links)
- Parametric optimization of non-traditional machining processes using Taguchi method and super ranking concept (Q3388434) (← links)
