LEADER 02761nam 2200721Ia 450 001 9910456376503321 005 20200520144314.0 010 $a1-282-74926-9 010 $a9786612749261 010 $a0-8032-2832-5 035 $a(CKB)2550000000019516 035 $a(OCoLC)649454252 035 $a(CaPaEBR)ebrary10395134 035 $a(SSID)ssj0000436659 035 $a(PQKBManifestationID)11298684 035 $a(PQKBTitleCode)TC0000436659 035 $a(PQKBWorkID)10428089 035 $a(PQKB)11308329 035 $a(MiAaPQ)EBC842573 035 $a(MdBmJHUP)muse2486 035 $a(Au-PeEL)EBL842573 035 $a(CaPaEBR)ebr10395134 035 $a(CaONFJC)MIL274926 035 $a(EXLCZ)992550000000019516 100 $a20091110d2010 ub 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc 183 $anc$2rdacarrier 200 10$aFor home and country$b[electronic resource] $eWorld War I propaganda on the home front /$fCelia Malone Kingsbury 210 $aLincoln $cUniversity of Nebraska Press$dc2010 215 $a1 online resource (312 pages) 225 1 $aStudies in war, society, and the military 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8032-2474-5 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Food will win the war : domestic science and the royal society -- "One hundred percent" : war service and women's fiction -- VADs and khaki girls : the ultimate reward for war service -- "Learning to hate the German beast" : children as war mongers -- The hun is at the gate : protecting the innocents -- Conclusion : learning to love big brother--or not. 410 0$aStudies in war, society, and the military. 606 $aWorld War, 1914-1918$xPropaganda 606 $aWorld War, 1914-1918$zUnited States 606 $aPropaganda, American 606 $aPopular culture$zUnited States$xHistory$y20th century 606 $aWorld War, 1914-1918$xSocial aspects 606 $aWorld War, 1914-1918$xPsychological aspects 606 $aPersuasion (Psychology) 608 $aElectronic books. 615 0$aWorld War, 1914-1918$xPropaganda. 615 0$aWorld War, 1914-1918 615 0$aPropaganda, American. 615 0$aPopular culture$xHistory 615 0$aWorld War, 1914-1918$xSocial aspects. 615 0$aWorld War, 1914-1918$xPsychological aspects. 615 0$aPersuasion (Psychology) 676 $a940.4/88 700 $aKingsbury$b Celia Malone$0967501 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456376503321 996 $aFor home and country$92196637 997 $aUNINA LEADER 03965oam 2200733I 450 001 9910457339203321 005 20200520144314.0 010 $a0-429-18292-9 010 $a1-4822-6646-6 010 $a1-282-56905-8 010 $a9786612569050 010 $a0-203-88476-0 024 7 $a10.1201/9781482266467 035 $a(CKB)2550000000006744 035 $a(EBL)481073 035 $a(OCoLC)609640918 035 $a(SSID)ssj0000363270 035 $a(PQKBManifestationID)11304669 035 $a(PQKBTitleCode)TC0000363270 035 $a(PQKBWorkID)10387405 035 $a(PQKB)11732231 035 $a(MiAaPQ)EBC481073 035 $a(Au-PeEL)EBL481073 035 $a(CaPaEBR)ebr10370134 035 $a(CaONFJC)MIL256905 035 $a(OCoLC)1027759383 035 $a(EXLCZ)992550000000006744 100 $a20180706d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModelling for Coastal Hydraulics and Engineering /$fK. W. Chau 205 $aFirst edition. 210 1$aBoca Raton, FL :$cCRC Press,$d2014. 215 $a1 online resource (240 p.) 300 $aDescription based upon print version of record. 311 $a0-367-38449-3 311 $a0-415-48254-2 320 $aIncludes bibliographical references and index. 327 $aBook Cover; Title; Copyright; Contents; 1 Introduction; 2 Coastal modelling; 3 Conventional modelling techniques for coastal engineering; 4 Finite difference methods; 5 Finite element methods; 6 Soft computing techniques; 7 Artificial neural networks; 8 Fuzzy inference systems; 9 Evolutionary algorithms; 10 Knowledge-based systems; 11 Conclusions; References; Index 330 2 $a"Mechanistic models are often employed to simulate processes in coastal environments. However, these predictive tools are highly specialized, involve certain assumptions and limitations, and can be manipulated only by experienced engineers who have a thorough understanding of the underlying principles. This results in significant constraints on their manipulation as well as large gaps in understanding and expectations between the developers and users of a model. Recent advancements in soft computing technologies make it possible to integrate machine learning capabilities into numerical modelling systems in order to bridge the gaps and lessen the demands on human experts. This book reviews the state-of-the-art in conventional coastal modelling as well as in the increasingly popular integration of various artificial intelligence technologies into coastal modelling. Conventional hydrodynamic and water quality modelling techniques comprise finite difference and finite element methods. The novel algorithms and methods include knowledge-based systems, genetic algorithms, artificial neural networks, and fuzzy inference systems. Different soft computing methods contribute towards accurate and reliable prediction of coastal processes. Combining these techniques and harnessing their benefits has the potential to make extremely powerful modelling tools."--Provided by publisher. 606 $aCoastal engineering$xMathematics 606 $aCoastal engineering$xData processing 606 $aHydraulic engineering$xMathematics 606 $aCoasts$xComputer simulation 606 $aCoast changes$xMathematical models 608 $aElectronic books. 615 0$aCoastal engineering$xMathematics. 615 0$aCoastal engineering$xData processing. 615 0$aHydraulic engineering$xMathematics. 615 0$aCoasts$xComputer simulation. 615 0$aCoast changes$xMathematical models. 676 $a627 676 $a627/.580151 700 $aChau$b K. W.$0878692 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910457339203321 996 $aModelling for Coastal Hydraulics and Engineering$91961785 997 $aUNINA LEADER 01304nam a2200313 i 4500 001 991001204709707536 005 20020502185048.0 008 981215s1990 it ||| | ita 020 $a8815027335 035 $ab1147872x-39ule_inst 035 $aPRUMB56735$9ExL 040 $aDip. 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