Pages that link to "Item:Q534860"

The following pages link to Adaptive network-based fuzzy inference system with leave-one-out cross-validation approach for prediction of surface roughness (Q534860):

Displaying 9 items.

• Hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining (Q400193) (← links)
• Regression and ANN models for estimating minimum value of machining performance (Q437930) (← links)
• Hybrid control for synchronizing a chaotic system (Q639141) (← links)
• Coping with complexity when predicting surface roughness in milling processes: hybrid incremental model with optimal parametrization (Q1693809) (← links)
• Point and interval forecasting for carbon price based on an improved analysis-forecast system (Q2174335) (← links)
• An effective approach of adaptive neuro-fuzzy inference system-integrated teaching learning-based optimization for use in machining optimization of S45C CNC turning (Q2331382) (← links)
• A note of hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining: a response (Q2363887) (← links)
• A Bayesian network model for surface roughness prediction in the machining process (Q3612774) (← links)
• (Q5306908) (← links)