Skip to main content
Log in

Reply to the comment on “Prediction of ground vibrations resulting from the blasting operations in an open pit mine by adaptive neuro-fuzzy inference system” by Tarkan Erdik

  • Rebuttal
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

References

  • Ak H, Iphar M, Yavuz M, Konuk A (2008) Evaluation of ground vibration effect of blasting operations in a magnesite mine. Soil Dyn Earthq Eng doi:10.1016/j.soildyn.2008.07.003

  • Chakraborty D, Pal NR (2001) Integrated feature analysis and fuzzy rule-based system identification in a neuro-fuzzy paradigm. IEEE Trans Syst Man Cybern 31(3):391–400

    Google Scholar 

  • Chatterjee A, Rakshit A, Siarry P (2006) Generalised influential rule search scheme for fuzzy function approximation. Soft Comput 10(8):631–642

    Article  Google Scholar 

  • Chen MY, Linkens DA (2001) A systematic neuro-fuzzy modeling framework with application to material property prediction. IEEE Trans Syst Man Cybern Part B Cybern 31(5):781–790

    Article  Google Scholar 

  • Ciaramellaa A, Tagliaferrib R, Pedryczc W (2005) The genetic development of ordinal sums. Fuzzy Sets Syst 151(2):303–325

    Article  Google Scholar 

  • Duvall WI, Fogelson DE (1962) Review of criteria for estimating damage to residences from blasting vibration. US Bureau of Mines RI 5968

  • Farag WA, Quintana VH, Lambert-Torres G (1998) A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems. IEEE Trans Fuzzy Syst 9(5):756–767

    Google Scholar 

  • Gaweda AE, Zurada JM (2003) Data-driven linguistic modeling using relational fuzzy rules. IEEE Trans Fuzzy Syst 11(1):121–134

    Article  Google Scholar 

  • Habibagahi G (2002) Post-construction settlement of rockfill dams analyzed via adaptive network-based fuzzy inference systems. Comput Geotech 29(3):211–233

    Article  Google Scholar 

  • Hassine R, Karray F, Alimi AM, Selmi M (2003) Approximation properties of fuzzy systems for smooth functions and their first-order derivative. IEEE Trans Syst Man Cybern Part A Syst Hum 33(2):160–168

    Article  Google Scholar 

  • Huang S, Ren W (1999) Use of neural fuzzy networks with mixed genetic/gradient algorithm in automated vehicle control. IEEE Trans Ind Electron 46(6):1090–1102

    Article  Google Scholar 

  • Hunt KJ, Haas R, Murray-Smith R (1996) Extending the functional equivalence of radial basis function networks and fuzzy inference systems. IEEE Trans Neural Netw 7(3):776–781

    Article  Google Scholar 

  • Iphar M, Yavuz M, Ak H (2008) Prediction of ground vibrations resulting from the blasting operations in an open-pit mine by adaptive neuro-fuzzy inference system. Environ Geol 56(1):97–107

    Article  Google Scholar 

  • Jang RJS (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybern 23(3):665–685

    Article  Google Scholar 

  • Juang CF, Lin CT (1999) A recurrent self-organizing neural fuzzy inference network. IEEE Trans Fuzzy Syst 10(4):828–845

    Google Scholar 

  • Kahriman A, Ozer U, Aksoy M, Karadogan A, Tuncer G (2006) Environmental impacts of bench blasting at Hisarcik Boron open pit mine in Turkey. Environ Geol 50(7):1015–1023

    Article  Google Scholar 

  • Kim J, Kasabov N (1999) HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems. Neural Netw 12(9):1301–1319

    Article  Google Scholar 

  • Kishora N, Singhb SP, Raghuvanshi AS (2007) Adaptive intelligent hydro turbine speed identification with water and random load disturbances. Eng Appl Artif Intell 20(6):795–808

    Article  Google Scholar 

  • Lin CJ, Chen CH (2005) Identification and prediction using recurrent compensatory neuro-fuzzy systems. Fuzzy Sets Syst 150(2):307–330

    Article  Google Scholar 

  • Lin CJ, Ho WH (2005) An asymmetry-similarity-measure-based neural fuzzy inference system. Fuzzy Sets Syst 152(3):535–551

    Article  Google Scholar 

  • Mitrakis NE, Theocharis JB, Petridis V (2008) A multilayered neuro-fuzzy classifier with self-organizing properties. Fuzzy Sets Syst 159:3132–3159

    Article  Google Scholar 

  • Paiva RP, Dourado A (2004) Interpretability and learning in neuro-fuzzy systems. Fuzzy Sets Syst 147(1):17–38

    Article  Google Scholar 

  • Reyneri LM (1999) Unification of neural and wavelet networks and fuzzy systems. IEEE Trans Neural Netw 10(4):801–814

    Article  Google Scholar 

  • Shia Y, Mizumotob M (2000) Some considerations on conventional neuro-fuzzy learning algorithms by gradient descent method. Fuzzy Sets Syst 112(1):51–63

    Article  Google Scholar 

  • Singh TN, Kanchan R, Verma AK, Saigal K (2005a) A comparative study of ANN and neuro-fuzzy for the prediction of dynamic constant of rockmass. J Earth Syst Sci 114(1):75–86

    Article  Google Scholar 

  • Singh TN, Verma AK, Singh V, Sahu A (2005b) Slake durability study of shaly rock and its predictions. Environ Geol 47(2):246–253

    Article  Google Scholar 

  • Tutmez B, Tercan AE (2007) Spatial estimation of some mechanical properties of rocks by fuzzy modelling. Comput Geotech 34(1):10–18

    Article  Google Scholar 

  • Tutmez B, Hatipoglu Z, Kaymak U (2006) Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system. Comput Geosci 32(4):421–433

    Article  Google Scholar 

  • Valente de Oliveira J (1999) Towards neuro-linguistic modeling: constraints for optimization of membership functions. Fuzzy Sets Syst 106(3):357–380

    Article  Google Scholar 

  • Wang JS, Lee CSG (2002) Self-adaptive neuro-fuzzy inference systems for classification applications. IEEE Trans Fuzzy Syst 10(6):790–802

    Article  Google Scholar 

  • Wang H, Kwong S, Jin Y, Wei W, Man KF (2005) Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction. Fuzzy Sets Systems 149(1):149–186

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Melih Iphar.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Iphar, M., Yavuz, M. & Ak, H. Reply to the comment on “Prediction of ground vibrations resulting from the blasting operations in an open pit mine by adaptive neuro-fuzzy inference system” by Tarkan Erdik. Environ Earth Sci 59, 473–476 (2009). https://doi.org/10.1007/s12665-009-0019-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12665-009-0019-3

Keywords

Navigation