Surface roughness prediction using Taguchi-fuzzy logic-neural network analysis for CNT nanofluids based grinding process

Application of regression and artificial neural network analysis in modelling of tool–chip interface temperature in machining

(2011) Ihsan Korkut et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparing the performance of neural networks developed by using Levenberg–Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a multiple response grinding process

(2011) Indrajit Mukherjee et al.   EXPERT SYSTEMS WITH APPLICATIONS

AFM investigation in grinding process with nanofluids using Taguchi analysis

(2011) Sethuramalingam Prabhu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Surface roughness prediction in machining of cast polyamide using neural network

(2011) Serhat Yilmaz et al.   NEURAL COMPUTING & APPLICATIONS

A review on applications and challenges of nanofluids

(2011) R. Saidur et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Adaptive network-based fuzzy inference system with leave-one-out cross-validation approach for prediction of surface roughness

(2010) Minggang Dong et al.   APPLIED MATHEMATICAL MODELLING

Improved differential evolution approach for optimization of surface grinding process

(2010) Kuo-Ming Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Towards next generation electrochemical machining controllers: A fuzzy logic control approach to ECM

(2010) A.W. Labib et al.   EXPERT SYSTEMS WITH APPLICATIONS

Reducing shrinkage in injection moldings via the Taguchi, ANOVA and neural network methods

(2009) Mirigul Altan   MATERIALS & DESIGN

Development of empirical model for different process parameters during rotary electrical discharge machining of copper–steel (EN-8) system

(2008) K.D. Chattopadhyay et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Optimization of machining parameters in magnetic force assisted EDM based on Taguchi method

(2008) Yan-Cherng Lin et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

A genetic algorithm-based artificial neural network model for the optimization of machining processes

(2008) D. Venkatesan et al.   NEURAL COMPUTING & APPLICATIONS

A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method

(2007) Ulaş Çaydaş et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY