LEADER 01733nam 2200481Ia 450 001 9910700811403321 005 20110927090015.0 035 $a(CKB)5470000002412907 035 $a(OCoLC)754798500 035 $a(EXLCZ)995470000002412907 100 $a20110927d2011 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMethod and apparatus for the quantification of particulate adhesion forces on various substrates$b[electronic resource] /$fChristopher J. Wohl, Brad M. Atkins, John W. Connell 210 1$aHampton, Va. :$cNational Aeronautics and Space Administration, Langley Research Center,$d[2011] 215 $a1 online resource (16 pages) $cillustrations (some color) 225 1 $aNASA/TM ;$v2011-217048 300 $aTitle from title screen (viewed on Sept. 27, 2011). 300 $a"February 2011." 320 $aIncludes bibliographical references (pages 14-16). 606 $aLunar dust$2nasat 606 $aParticulates$2nasat 606 $aQualitative analysis$2nasat 606 $aSubstrates$2nasat 606 $aAdhesion tests$2nasat 615 7$aLunar dust. 615 7$aParticulates. 615 7$aQualitative analysis. 615 7$aSubstrates. 615 7$aAdhesion tests. 700 $aWohl$b Christopher J$01397532 701 $aAtkins$b Brad M$01397533 701 $aConnell$b John W.$f1959-$01397534 712 02$aLangley Research Center. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910700811403321 996 $aMethod and apparatus for the quantification of particulate adhesion forces on various substrates$93459333 997 $aUNINA LEADER 03147nam 22005295 450 001 9910350219403321 005 20200702020236.0 010 $a981-13-7430-9 024 7 $a10.1007/978-981-13-7430-2 035 $a(CKB)5340000000061447 035 $a(MiAaPQ)EBC5926706 035 $a(DE-He213)978-981-13-7430-2 035 $a(PPN)235667242 035 $a(EXLCZ)995340000000061447 100 $a20190430d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConcepts of Soft Computing $eFuzzy and ANN with Programming /$fby Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato 205 $a1st ed. 2019. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019. 215 $a1 online resource (206 pages) 311 $a981-13-7429-5 320 $aIncludes bibliographical references. 327 $aSoft Computing -- Intervals -- Fuzzy Sets -- Fuzzy Numbers -- Fuzzy Relations -- Fuzzy Functions -- Fuzzy differentiation and integration -- Defuzzification -- Interval system of linear equations -- Interval eigenvalue problems. 330 $aThis book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes. The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases. 606 $aComputer organization 606 $aArtificial intelligence 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputer organization. 615 0$aArtificial intelligence. 615 14$aComputer Systems Organization and Communication Networks. 615 24$aArtificial Intelligence. 676 $a004.6 700 $aChakraverty$b Snehashish$4aut$4http://id.loc.gov/vocabulary/relators/aut$0946360 702 $aSahoo$b Deepti Moyi$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMahato$b Nisha Rani$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910350219403321 996 $aConcepts of Soft Computing$92508170 997 $aUNINA