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Artificial neural networks have a wide application in many areas of science and engineering and, particularly, in geotechnical
problems with some degree of success due to the fact that the mechanical behavior of rocks are not salient. They are highly
nonlinear, quite complex and complicated. While applying neural network in such complicated problems, epoch determination
is based on hit-and-trail basis mainly. In this paper, the effect of different number of epochs is shown on the network and
a method is proposed to determine the optimum number of epoch with the help of self-organized map (SOM) to avoid overtraining
of the network. Data distribution is also done with the help of SOM and a statistical analysis is made to show consistency
between training and testing dataset for ensuring the optimal model performance. 相似文献
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A. M. Swinbank A. C. Edge Ian Smail J. P. Stott M. Bremer Y. Sato C. van Breukelen M. Jarvis I. Waddington L. Clewley J. Bergeron G. Cotter S. Dye J. E. Geach E. Gonzalez-Solares P. Hirst R. J. Ivison S. Rawlings C. Simpson G. P. Smith A. Verma T. Yamada 《Monthly notices of the Royal Astronomical Society》2007,379(4):1343-1351
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Sardana Sahil Sinha Rabindra Kumar Verma A. K. Jaswal Mamta Singh T. N. 《Geotechnical and Geological Engineering》2022,40(11):5507-5525
Geotechnical and Geological Engineering - The Lengpui-Aizawl highway in the Northeastern part of India has witnessed several rockfall events in the past decades. This is the only highway that... 相似文献
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Ankam Durga Prasad Lori Rastogi Vinod Kumar Verma Vasudevan Krishna Kumari Sudhakar Yadlapalli Kulamani Dash 《Geostandards and Geoanalytical Research》2023,47(3):629-636
The National Centre for Compositional Characterisation of Materials (NCCCM) / Bhabha Atomic Research Centre (BARC) and National Aluminium Company Limited (NALCO), India have produced an Indian origin bauxite certified reference material (CRM), referred to as BARC-B1201, certified for major (Al2O3, Fe2O3, SiO2, TiO2, loss on ignition - LOI) and trace contents (V2O5, MnO, Cr2O3, MgO). Characterisation was undertaken by strict adherence to ISO Guides. A method previously developed and validated in our laboratory, using single step bauxite dissolution and subsequent quantitation (of Al2O3, Fe2O3, SiO2, TiO2, V2O5, MnO, Cr2O3 and MgO) by ICP-AES (SSBD ICP-AES) was used for homogeneity studies and an inter-laboratory comparison exercise (ILCE) of the candidate CRM. LOI was determined by thermo-gravimetric analysis. Property values were assigned after an ILCE with participation from seventeen reputed government and private sector laboratories in India. The CRM was certified for nine property values: Al2O3, Fe2O3, SiO2, TiO2, V2O5, MnO, Cr2O3, MgO and LOI, which are traceable to SI units. 相似文献