caa a22 4500 467931054 CHVBK 20180406152943.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s10706-005-4430-6 doi (NATIONALLICENCE)springer-10.1007/s10706-005-4430-6 Forecasting shield pressures at a longwall face using artificial neural networks [Elektronische Daten] [Debasis Deb, Akshay Kumar, Rajat Rosha] Leg pressure data from all shields of a longwall face are monitored and recorded in the surface computer. An algorithm is developed to detect peak pressures or periodic roof weightings from these pressure data. The intensities and locations of periodic roof weighting are further analyzed using artificial neural network for forecasting of forthcoming shield pressures. The network was trained using data 153m (500ft) of face advance. Shield pressures are forecasted for the successive nine mining cycles or approximately 9m of face advancement. The results obtained validate the efficacy of the developed model. Springer, 2006 artificial neural networks nationallicence forecasting nationallicence longwall mining nationallicence peak selection nationallicence shield pressures nationallicence Deb Debasis Department of Mining Engineering, IIT, 721302, Kharagpur, India aut Kumar Akshay Department of Mining Engineering, IIT, 721302, Kharagpur, India aut Rosha Rajat Department of Mining Engineering, IIT, 721302, Kharagpur, India aut Geotechnical & Geological Engineering Kluwer Academic Publishers 24/4(2006-08-01), 1021-1037 0960-3182 24:4<1021 2006 24 10706 https://doi.org/10.1007/s10706-005-4430-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10706-005-4430-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Deb Debasis Department of Mining Engineering, IIT, 721302, Kharagpur, India aut NATIONALLICENCE 700 1- Kumar Akshay Department of Mining Engineering, IIT, 721302, Kharagpur, India aut NATIONALLICENCE 700 1- Rosha Rajat Department of Mining Engineering, IIT, 721302, Kharagpur, India aut NATIONALLICENCE 773 0- Geotechnical & Geological Engineering Kluwer Academic Publishers 24/4(2006-08-01), 1021-1037 0960-3182 24:4<1021 2006 24 10706 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer