ANN Models for Prediction of Sound and Penetration Rate in Percussive Drilling

Journal of The Institution of Engineers (India): Series D - Tập 96 Số 2 - Trang 93-103 - 2015
S. B. Kivade1, C Murthy2, Harsha Vardhan2
1Department of Mechanical Engineering, Basavakalyan Engineering College, Basavakalyan, India
2Department of Mining Engineering, NITK, Suratkal, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

T.N. Singh, R. Kanchan, A.K. Verma, S. Singh, An intelligent approach for prediction of triaxial properties using unconfined uniaxial strength. Min. Eng. J. 5, 12–16 (2003)

I. Yilmaz, A.G. Yuksek, An example of artificial neural network application for indirect estimation of rock parameters. Rock Mech. Rock Eng. 41(5), 781–795 (2008)

D. Rumelhart, J. McClelland, Parallel Distributed Processing: Explorations in the Microstructure of Cognition (Bradford Books, MIT Press, Cambridge, 1986)

P.K. Simpson, Artificial Neural System Foundation, Paradigm, Application and Implementation (Pergamon Press, New York, 1990)

L. Zhang, J.H. Jiang, P. Liu, Y.Z. Liang, R.Q. Yu, Multivariate nonlinear modeling of fluorescence data by neural network with hidden mode pruning algorithm. Anal. Chim. Acta 344, 29–39 (1997)

S. Haykin, Neural Networks: A Comprehensive Foundation (MacMillan, New York, 1994)

J.V. Tu, Advantages and disadvantages of using artificial neural networks versus logistic regression in predicting medical outcomes. J. Clin. Epidemiol. 49, 1225–1231 (1996)

M. Majors, J. Stori, C. Dongil, Neural network control of automotive fel-injection systems. Control Syst. Mag. IEEE 14, 31–36 (2002)

C.E. Arzum, K. Yalcin, Evaluating and forecasting banking crises through neural network models: an application for Turkish banking sector. Expert Syst. Appl. 33, 809–815 (2007)

L. Bor-Ren, R.G. Hof, Neural networks and fuzzy logic in power electronics. Control Eng. Pract. 2, 113–121 (2003)

Z. Xiaotian, X. Hong Wang, L. Li, H. Li, Predicting stock index increments by neural networks: the role of trading volume under different horizons. Expert Syst. Appl. 34, 3043–3054 (2008)

G.R. Cheginia, J. Khazaeia, B. Ghobadianb, A.M. Goudarzic, Prediction of process and product parameters in an orange juice spray dryer using artificial neural networks. J. Food Eng. 84, 534–543 (2008)

N.S. Peranbur, A. Preechayasomboon, Development of a neuroinference engine for ADSL modem applications in telecommunications using an ANN with fast computational ability. Neurocomputing 48, 423–441 (2002)

N. Huang, K.K. Tan, T.H. Lee, Adaptive neural network algorithm for control design of rigid-link electrically driven robots. Neurocomputing 71, 885–894 (2008)

P. Venkatesan, S. Anitha, Application of a radial basis function neural network for diagnosis of diabetes mellitus. Curr. Sci. 91(9), 1195–1199 (2006)

E.T. Brown, Rock characterization testing and monitoring. In International Society of Rock Mechanics (ISRM) Suggested Methods (Pergamon, Oxford, 1981)

M. Alvarez Grima, R. Babuska, Fuzzy model for the prediction of unconfined compressive strength of rock samples. Int. J. Rock Mech. Min. Sci. 36, 339–349 (1999)

J. Finol, Y.K. Guo, X.D. Jing, A rule based fuzzy model for the prediction of petrophysical rock parameters. J. Petrol. Sci. Eng. 29, 97–113 (2001)

C. Gokceoglu, A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara Agglomerates from their petrographic composition. Eng. Geol. 66, 39–51 (2002)

I. Yilmaz, A.G. Yuksek, Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, ANFIS models and their comparison. Int. J. Rock Mech. Min. Sci. 46(4), 803–810 (2009)