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000826558 019__ $$a1021856571$$a1022084905$$a1031856379
000826558 020__ $$a9789811078750$$q(electronic book)
000826558 020__ $$a9811078750$$q(electronic book)
000826558 020__ $$z9789811078736
000826558 020__ $$z9811078734
000826558 0247_ $$a10.1007/978-981-10-7875-0$$2doi
000826558 035__ $$aSP(OCoLC)on1026994599
000826558 035__ $$aSP(OCoLC)1026994599$$z(OCoLC)1021856571$$z(OCoLC)1022084905$$z(OCoLC)1031856379
000826558 040__ $$aUPM$$beng$$erda$$epn$$cUPM$$dOCLCO$$dGW5XE$$dN$T$$dYDX$$dEBLCP$$dOCLCF$$dUAB$$dOCLCQ$$dMERER$$dOCLCQ$$dYDX$$dOCL
000826558 049__ $$aISEA
000826558 050_4 $$aTJ254.5$$b.Z46 2018
000826558 050_4 $$aT58.8
000826558 08204 $$a621.402/3$$223
000826558 08204 $$a658.26$$223
000826558 1001_ $$aZhou, Hao,$$eauthor.
000826558 24510 $$aCombustion Optimization Based on Computational Intelligence /$$cHao Zhou, Kefa Cen.
000826558 264_1 $$aSingapore :$$bSpringer Singapore ;$$aHangzhou, China :$$bZhejiang University Press,$$c[2018]
000826558 300__ $$a1 online resource (xxvi, 270 pages) :$$billustrations.
000826558 336__ $$atext$$btxt$$2rdacontent
000826558 337__ $$acomputer$$bc$$2rdamedia
000826558 338__ $$aonline resource$$bcr$$2rdacarrier
000826558 347__ $$atext file$$bPDF$$2rda
000826558 4901_ $$aAdvanced Topics in Science and Technology in China,$$x1995-6819
000826558 504__ $$aIncludes bibliographical references and index.
000826558 5050_ $$aThe influence of combustion parameters on NOx emissions and carbon burnout -- Modeling methods for combustion characteristics -- Neural network modeling of combustion characteristics -- Support vector machine modeling the combustion characteristics -- Combining neural network or support vector machine with optimization algorithms to optimize the combustion -- Online combustion optimization system.
000826558 506__ $$aAccess limited to authorized users.
000826558 520__ $$aThis book presents the latest findings on the subject of combustion optimization based on computational intelligence. It covers a broad range of topics, including the modeling of coal combustion characteristics based on artificial neural networks and support vector machines. It also describes the optimization of combustion parameters using genetic algorithms or ant colony algorithms, an online coal optimization system, etc. Accordingly, the book offers a unique guide for researchers in the areas of combustion optimization, NOx emission control, energy and power engineering, and chemical engineering.
000826558 588__ $$aDescription based on online resource; title from digital title page  (viewed on April 20, 2018).
000826558 650_0 $$aCombustion$$xMathematical models.
000826558 650_0 $$aComputational intelligence.
000826558 650_0 $$aChemical engineering.
000826558 650_0 $$aElectric power production.
000826558 650_0 $$aThermodynamics.
000826558 650_0 $$aHeat engineering.
000826558 650_0 $$aHeat$$xTransmission.
000826558 650_0 $$aMass transfer.
000826558 7001_ $$aCen, Kefa,$$eauthor.
000826558 77608 $$iPrint version: $$z9789811078736
000826558 830_0 $$aAdvanced topics in science and technology in China.
000826558 852__ $$bebk
000826558 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-7875-0$$zOnline Access$$91397441.1
000826558 909CO $$ooai:library.usi.edu:826558$$pGLOBAL_SET
000826558 980__ $$aEBOOK
000826558 980__ $$aBIB
000826558 982__ $$aEbook
000826558 983__ $$aOnline
000826558 994__ $$a92$$bISE