Forward and reverse mappings of electrical discharge machining process using adaptive network-based fuzzy inference system

Expert Systems with Applications

Volumn 37, Issue 12, 2010, Pages 8566-8574

  Maji, Kuntal ^a   Pratihar, Dilip Kumar ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Adaptive network based fuzzy inference system; Electrical discharge machining; Forward mapping; Reverse mapping

Indexed keywords

ELECTRIC DISCHARGE MACHINING; ELECTRIC DISCHARGES; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INTELLIGENT CONTROL; MACHINING; MACHINING CENTERS; MAPPING; MEMBERSHIP FUNCTIONS; SURFACE ROUGHNESS;

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ELECTRICAL DISCHARGE MACHINING; ELECTRICAL DISCHARGE MACHINING PROCESS; FORWARD AND REVERSE MAPPINGS; FORWARD MAPPING; MEMBERSHIP FUNCTION DISTRIBUTION; NON-LINEAR MEMBERSHIP FUNCTIONS; REVERSE MAPPING;

FUZZY INFERENCE;

EID: 77957836190     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.05.019     Document Type: Article

References (16)

1. Benedict, G.F.(1987).Nontraditional manufacturing process.New York: Marcel Dekker.
2. Pratihar, D.K.(2008).Soft computing.New Delhi: Narosa Publishing House.
3. Rao, G.K.M., Rangajanardhaa, G., Rao, D.H., & Rao, M.S.(2009).Development of hybrid model and optimization of surface roughness in electrical discharge machining using artificial neural networks and genetic algorithm.Journal of Materials Processing Technology, 209, 1512-1530.
4. Holland, J.H.(1975).Adaptation in natural and artificial systems.Ann Arbor, MI, USA: The University of Michigan Press.
5. Salman, O., & Kayacan, M.C.(2008).Evolutionary programming method for modeling the EDM parameters for roughness.Journal of Materials Processing Technology, 200, 347-355.
6. Mandal, D., Pal, S.K., & Saha, P.(2007).Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm - II.Journal of Materials Processing Technology, 186, 154-162.
7. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T.(2002).A fast and elitist multiobjective genetic algorithm: NSGA-II.IEEE Transactions on Evolutionary Computation, 6, 182-197.
8. Wang, K., Gelgele, H.L., Wang, Y., Yuan, Q., & Fang, M.(2003).A hybrid intelligent method for modeling the EDM process.International Journal of Machine Tools and Manufacture, 43, 995-999.
9. Tsai, K.M., & Wang, P.J.(2001).Comparison of neural network models on material removal rate in electric discharge machining.Journal of Materials Processing Technology, 117, 111-124.
10. Jang, J.S.R.(1993).ANFIS: Adaptive-network-based fuzzy inference system.IEEE Transactions on Systems, Man, and Cybernetics, 23(3).
11. Tsai, K.M., & Wang, P.J.(2001).Prediction on surface finish in electrical discharge machining based upon neural network models.International Journal of Machine Tools and Manufacture, 41, 1385-1403.
12. Yilmaz, O., Eyercioglu, O., & Gindy, N.N.Z.(2006).A user friendly fuzzy based system for the selection of electro discharge machining process parameters.Journal of Materials Processing Technology, 172, 363-371.
13. Caydas, U., Hascalik, A., & Ekici, S.(2009).An adaptive neuro-fuzzy inference system (ANFIS) model for wirw-EDM.Expert Systems with Applications, 36, 6135-6139.
14. Parappagoudar, M.B., Pratihar, D.K., & Datta, G.L.(2008).Forward and reverse mappings in green sand mould system using neural networks.Applied Soft Computing, 8, 239-260.
15. Montgomery, D.C.(2001).Design and analysis of experiments.New York: Wiley.
16. Minitab 14, Statistical Software (xxxx)..