New algorithm for modelling land surface subsidence due to the rock mass drainage
Grant from the National Science Centre
No. 2014/13/N/ST10/02845

2016

Evaluation of the Sentinel-1A radar interferometry accuracy applied in mining areas / Wojciech T. WITKOWSKI, Agnieszka A. MALINOWSKA, Ryszard HEJMANOWSKI // Przegląd Górniczy 2017 t. 73 nr 1, s. 78–83
link - Publisher Website
link - PG 1/2017

Use of the artificial neural networks for modelling of surface subsidence caused by dehydration of rock mass / R. HEJMANOWSKI, A. A. MALINOWSKA, W. T. WITKOWSKI // W: Connecting education and industry : XVI international congress for mine surveying : 12–16 September 2016, Brisbane, Australia : congress proceedings / ed. by Andrew Jarosz. — [Australia] : Ellipsis Media, [2016]. — ISBN10: 1-877040-04-5. — S. 171–175



Selection of parameters of the Support Vector Machine method to the problem of subsidence modelling due to drainage / Wojciech T. WITKOWSKI, Ryszard HEJMANOWSKI // W: XVIII international coal preparation congress : 28 June – 01 July 2016, Saint-Petersburg, Russia, Vol. 1 / ed. Vladimir Litvinenko. — Switzerland : Springer International Publishing, cop. 2016. — ISBN: 978-3-319-40942-9 ; e-ISBN: 978-3-319-40943-6. — S. 651–656. — Bibliogr. s. 656 DOI 10.1007/978-3-319-40943-6_100
link - 10.1007/978-3-319-40943-6_100


July 20, 2016

Started Stages 5 - Studying the properties of the displacement field resulting from mining drainage

Januar 10, 2016

Started Stages 4 - Comparative analyses of the obtained results using statistical methods

2015

Assessment of suitability of selected approaches of artificial intelligence in the prediction of surface subsidence due to rock mass drainage in mining areas / Wojciech T. WITKOWSKI // Przegląd Górniczy ; ISSN 0033-216X. — 2016 t. 72 nr 2, s. 88–94. — Bibliogr. s. 94
link - Publisher Website
link - PG 2/2016

Suitability assessment of artificial neural network to approximate surface subsidence due to rock mass drainage / Ryszard HEJMANOWSKI, Wojciech T. WITKOWSKI // Journal of Sustainable Mining ; ISSN 2300-3960 - 2015 vol. 14 iss. 2, s. 106–107
link - Journal of Sustainable Mining


Artificial intelligence in modelling of surface subsidence due to water withdrawal in underground mining / Wojciech T. WITKOWSKI// SGEM 2015 : informatics, geoinformatics and remote sensing — 18–24, June, 2015. Albena, Bulgaria : conference proceedings. Vol. 1, Informatics, geoinformatics, photogrammetry and remote sensing. — (International Multidisciplinary Scientific GeoConference SGEM ; ISSN 1314-2704). — ISBN: 978-619-7105-34-6. — S. 503–510. — Bibliogr. s. 510, Abstr. DOI: 10.5593/SGEM2015/B21/S8.062
link - 10.5593/SGEM2015/B21/S8.062

Geoinformation database for subsidence modeling due to water withdrawal / Wojciech T. WITKOWSKI// SGEM 2015 : informatics, geoinformatics and remote sensing — 18–24, June, 2015. Albena, Bulgaria : conference proceedings. Vol. 1, Informatics, geoinformatics, photogrammetry and remote sensing. — (International Multidisciplinary Scientific GeoConference SGEM ; ISSN 1314-2704). — ISBN: 978-619-7105-34-6. — S. 601–606. — Bibliogr. s. 606, Abstr. DOI: 10.5593/SGEM2015/B21/S8.075
link - 10.5593/SGEM2015/B21/S8.075


September 21, 2015

Started Stages 3 - Testing the AI methods with respect to their usefulness for describing displacement fields within the drained mountain formation
1.1 Multilayer neural networks with supervised learning (MLP)
1.2 RBF and GRNN neural networks
1.3 SVM networks

April 14, 2015

Started Stages 2 - Analysis of the reliability, coherence and precision of the obtained data

February 23, 2015

Started Stages 1 - Gathering data from a few areas of existing underground and open-pit mining facilities
1.1 The Underground Mines
1.2 Open-pit Mine

February 20, 2015

...the website started