{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T15:19:44Z","timestamp":1780586384162,"version":"3.54.1"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T00:00:00Z","timestamp":1588896000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T00:00:00Z","timestamp":1588896000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1007\/s00521-020-04974-9","type":"journal-article","created":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T22:02:27Z","timestamp":1588975347000},"page":"181-190","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Assessment of relative impacts of various geo-mining factors on methane dispersion for safety in gassy underground coal mines: an artificial neural networks approach"],"prefix":"10.1007","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0730-3894","authenticated-orcid":false,"given":"Devi Prasad","family":"Mishra","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Durga Charan","family":"Panigrahi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pradeep","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abhijeet","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pritam Kumar","family":"Sinha","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,5,8]]},"reference":[{"key":"4974_CR1","unstructured":"Coward HF, Jones GW (1952) Limits of flammability of gases and vapours. US Bureau of Mines Information Circular No. 503"},{"key":"4974_CR2","volume-title":"Mine environment and ventilation","author":"GB Misra","year":"1986","unstructured":"Misra GB (1986) Mine environment and ventilation, 1st edn. Oxford University Press, New Delhi","edition":"1"},{"key":"4974_CR3","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.coal.2011.02.009","volume":"86","author":"CO Karacan","year":"2011","unstructured":"Karacan CO, Ruiz AF, Cote M, Phipps S (2011) Coal mine methane: a review of capture and utilization practices with benefits to mining safety and to greenhouse gas reduction. Int J Coal Geol 86:121\u2013156","journal-title":"Int J Coal Geol"},{"key":"4974_CR4","first-page":"1","volume":"409","author":"DP Creedy","year":"1997","unstructured":"Creedy DP, Phillips HR (1997) Methane layering in board and pillar workings. SIMRAC Report, Project No. COL 409:1\u2013116","journal-title":"SIMRAC Report, Project No. COL"},{"key":"4974_CR5","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.jngse.2018.02.030","volume":"53","author":"DP Mishra","year":"2018","unstructured":"Mishra DP, Panigrahi DC, Kumar P (2018) Computational investigation on effects of geo-mining parameters on layering and dispersion of methane in underground coal mines: a case study of Moonidih Colliery. J Nat Gas Sci Eng 53:110\u2013124","journal-title":"J Nat Gas Sci Eng"},{"key":"4974_CR6","first-page":"1","volume":"195","author":"P Bakke","year":"1960","unstructured":"Bakke P, Leach SJ (1960) Methane roof layers. Safety in mines research establishment. SMRE Res Rep 195:1\u201362","journal-title":"SMRE Res Rep"},{"issue":"7","key":"4974_CR7","first-page":"645","volume":"22","author":"P Bakke","year":"1962","unstructured":"Bakke P, Leach SJ (1962) Principles of formation and dispersion of methane roof layers and some remedial measures. Min Eng 22(7):645\u2013669","journal-title":"Min Eng"},{"key":"4974_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-1550-6","volume-title":"Subsurface ventilation and environmental engineering","author":"MJ McPherson","year":"1993","unstructured":"McPherson MJ (1993) Subsurface ventilation and environmental engineering. Chapman & Hall, New York"},{"key":"4974_CR9","first-page":"579","volume":"119","author":"EJ Raine","year":"1960","unstructured":"Raine EJ (1960) Layering of firedamp in longwall working. Trans Inst Min Eng 119:579\u2013597","journal-title":"Trans Inst Min Eng"},{"key":"4974_CR10","unstructured":"Fischer D (1973) Characteristics and deflagrations of methane roof layers in mine working. In: 15th International conference of safety in mines research, Karfovy Vary, September, 1973"},{"key":"4974_CR11","unstructured":"Kapageridis IK (2002) Artificial neural network technology in mining and environmental applications. In: Proceedings of the 11th international symposium on mine planning and equipment selection (MPES). VSB Technical University of Ostrava, Prague"},{"key":"4974_CR12","doi-asserted-by":"publisher","first-page":"3537","DOI":"10.1007\/s00521-016-2263-2","volume":"28","author":"S Mahdevari","year":"2017","unstructured":"Mahdevari S, Shahriar K, Sharifzadeh M, Tannant DD (2017) Stability prediction of gate roadways in longwall mining using artificial neural networks. Neural Comput Appl 28:3537\u20133555","journal-title":"Neural Comput Appl"},{"issue":"1","key":"4974_CR13","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/s00521-016-2423-4","volume":"29","author":"VMSR Murthy","year":"2018","unstructured":"Murthy VMSR, Kumar A, Sinha PK (2018) Prediction of throw in bench blasting using neural networks: an approach. Neural Comput Appl 29(1):143\u2013156","journal-title":"Neural Comput Appl"},{"key":"4974_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00521-018-3717-5","volume":"1","author":"H Nguyen","year":"2018","unstructured":"Nguyen H, Bui XN, Bui HB, Mai NL (2018) A comparative study of artificial neural networks in predicting blast induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam. Neural Comput Appl 1:1. https:\/\/doi.org\/10.1007\/s00521-018-3717-5","journal-title":"Neural Comput Appl"},{"key":"4974_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.resourpol.2019.101474","author":"H Guo","year":"2019","unstructured":"Guo H, Nguyen H, Vu DA, Bui XN (2019) Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach. Resources Policy. https:\/\/doi.org\/10.1016\/j.resourpol.2019.101474","journal-title":"Resources Policy"},{"key":"4974_CR16","doi-asserted-by":"publisher","DOI":"10.4324\/9780203451519","volume-title":"An introduction to neural networks","author":"K Gurney","year":"1997","unstructured":"Gurney K (1997) An introduction to neural networks. UCL Press Limited, London"},{"key":"4974_CR17","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1287\/ijoc.11.1.15","volume":"11","author":"KA Smith","year":"1999","unstructured":"Smith KA (1999) Neural networks for combinatorial optimization: a review of more than a decade of research. INFORMS J Comput 11:15\u201334","journal-title":"INFORMS J Comput"},{"issue":"1\u20133","key":"4974_CR18","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1007\/BF01589116","volume":"45","author":"DC Liu","year":"1989","unstructured":"Liu DC, Nocedal J (1989) On the limited memory BFGS method for large scale optimization. Math Program 45(1\u20133):503\u2013528","journal-title":"Math Program"},{"key":"4974_CR19","first-page":"488","volume-title":"Principal component analysis","author":"IT Jolliffe","year":"2002","unstructured":"Jolliffe IT (2002) Principal component analysis, 2nd edn. Springer-Verlag, New York, p 488","edition":"2"},{"issue":"4","key":"4974_CR20","first-page":"46","volume":"6","author":"DG Garson","year":"1991","unstructured":"Garson DG (1991) Interpreting neural network connection weights. Artif Intell Expert 6(4):46\u201351","journal-title":"Artif Intell Expert"},{"issue":"1","key":"4974_CR21","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/0304-3800(95)00142-5","volume":"90","author":"S Lek","year":"1996","unstructured":"Lek S, Delacoste M, Baran P, Dimopoulos I, Lauga J, Aulagnier S (1996) Application of neural networks to modelling nonlinear relationships in ecology. Ecol Model 90(1):39\u201352","journal-title":"Ecol Model"},{"issue":"1","key":"4974_CR22","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/S0304-3800(02)00064-9","volume":"154","author":"JD Olden","year":"2002","unstructured":"Olden JD, Jackson DA (2002) Illuminating the \u201cblack box\u201d: a randomization approach for understanding variable contributions in artificial neural networks. Ecol Model 154(1):135\u2013150","journal-title":"Ecol Model"},{"issue":"3","key":"4974_CR23","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1016\/j.ecolmodel.2004.03.013","volume":"178","author":"JD Olden","year":"2004","unstructured":"Olden JD, Joy MK, Death RG (2004) An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data. Ecol Model 178(3):389\u2013397","journal-title":"Ecol Model"},{"issue":"6","key":"4974_CR24","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1007\/s12665-016-5319-9","volume":"75","author":"DP Mishra","year":"2016","unstructured":"Mishra DP, Kumar P, Panigrahi DC (2016) Dispersion of methane in tailgate of a retreating longwall mine: a computational fluid dynamics study. Environ Earth Sci 75(6):475","journal-title":"Environ Earth Sci"},{"issue":"9","key":"4974_CR25","doi-asserted-by":"publisher","first-page":"1873","DOI":"10.18520\/cs\/v112\/i09\/1873-1881","volume":"112","author":"P Kumar","year":"2017","unstructured":"Kumar P, Mishra DP, Panigrahi DC, Sahu P (2017) Numerical studies of ventilation effect on methane layering behaviour in underground coal mines. Curr Sci 112(9):1873\u20131881","journal-title":"Curr Sci"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04974-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-020-04974-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-020-04974-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,8]],"date-time":"2021-05-08T00:06:29Z","timestamp":1620432389000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-020-04974-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,8]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["4974"],"URL":"https:\/\/doi.org\/10.1007\/s00521-020-04974-9","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,8]]},"assertion":[{"value":"27 September 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}