A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

Author:

Singh Rajesh,Vishal V.,Singh T. N.,Ranjith P. G.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference34 articles.

1. Sharma PK, Singh TN (2008) A correlation between P-wave velocity, impact strength index, slake durability index and uniaxial compressive strength. Bull Eng Geol Environ 67:17–22

2. Chary KB, Sarma LP, Lakshmi KJP, Vijayakumar NA, Lakshmi VN, Rao MVMS (2006) Evaluation of engineering properties of rock using ultrasonic pulse velocity and uniaxial compressive strength. In: Proceedings of the national seminar on non-destructive evaluation, NDE, pp 379–385

3. Szlavin J (1974) Relationships between some physical properties of rock determined by laboratory tests. Int J Rock Mech Min Sci Geomech Abs 11:57–66

4. Vishal V, Pradhan SP, Singh TN (2010) Instability assessment of mine slope-a finite element approach. Int J Earth Sci Eng 3:11–23

5. Singh TN, Pradhan SP, Vishal V (2012) Stability of slopes in a fire-prone mine in Jharia Coalfield, India. Arab J Geosc. doi: 10.1007/s12517-011-0341-4

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