@JournalArticle {SIEEUM13008,
	title = {Jet grouting mechanicals properties prediction using data mining techniques},
	journal = {Geotechnical Special Publication},
	volume = {228},
	number = {1},
	year = {2012},
	month = {2012-01-01 00:00:00},
	pages = {2082{\textendash}2091},
	publisher = {American Society of Civil Engineers {\textendash} ASCE},
	keywords = {Artificial neural networks, Data Mining, Functional networks, Ground improvement, Jet grouting, Mechanical properties, Support vector machines},
	issn = {0895-0563},
	url = {http://sieeum.eng.uminho.pt/publicacoes/pub.aspx?pubid=13008},
	author = {Tinoco, J. and Correia, A. G. and Cortez, P.}
}