An intelligent neural-fuzzy model for an in-process surface roughness monitoring system in end milling operations

Prediction of cutting tool wear, surface roughness and vibration of work piece in boring of AISI 316 steel with artificial neural network

(2014) K. Venkata Rao et al.   MEASUREMENT

Effect of surface roughness on the texture and oxidation behavior of Zircaloy-4 cladding tube

(2013) Hamed Akhiani et al.   APPLIED SURFACE SCIENCE

On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations

(2013) Zahia Hessainia et al.   MEASUREMENT

Optimization of Radial Basis Function neural network employed for prediction of surface roughness in hard turning process using Taguchi’s orthogonal arrays

(2012) Fabrício José Pontes et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of fuzzy logic and regression analysis for modeling surface roughness in face milliing

(2012) P. Kovac et al.   JOURNAL OF INTELLIGENT MANUFACTURING

In-process prediction of surface roughness in turning of Ti–6Al–4V alloy using cutting parameters and vibration signals

(2012) Vikas Upadhyay et al.   MEASUREMENT

Prediction of surface roughness in CNC end milling by machine vision system using artificial neural network based on 2D Fourier transform

(2010) S. Palani et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Optimizing the auto-brazing process quality of aluminum pipe and flange via a Taguchi-Neural-Genetic approach

(2010) Hsuan-Liang Lin   JOURNAL OF INTELLIGENT MANUFACTURING

Surface roughness monitoring application based on artificial neural networks for ball-end milling operations

(2009) G. Quintana et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Artificial-neural-networks-based surface roughness Pokayoke system for end-milling operations

(2007) Bernie P. Huang et al.   NEUROCOMPUTING