LEADER 03612oam 2200697I 450 001 9910458663503321 005 20200520144314.0 010 $a0-429-14892-5 010 $a1-283-00454-2 010 $a9786613004543 010 $a1-4398-1259-4 024 7 $a10.1201/b10515 035 $a(CKB)2560000000055632 035 $a(EBL)665580 035 $a(OCoLC)746925664 035 $a(SSID)ssj0000482809 035 $a(PQKBManifestationID)11344282 035 $a(PQKBTitleCode)TC0000482809 035 $a(PQKBWorkID)10526507 035 $a(PQKB)10751649 035 $a(MiAaPQ)EBC665580 035 $a(Au-PeEL)EBL665580 035 $a(CaPaEBR)ebr10446295 035 $a(CaONFJC)MIL300454 035 $a(EXLCZ)992560000000055632 100 $a20180331d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial neural networks in biological and environmental analysis /$fGrady Hanrahan 205 $a1st ed. 210 1$aBoca Raton, Fla. :$cCRC Press,$d2011. 215 $a1 online resource (206 p.) 225 1 $aAnalytical chemistry series 300 $aDescription based upon print version of record. 311 $a1-4398-1258-6 320 $aIncludes bibliographical references and index. 327 $aFront cover; Dedication; Contents; Foreword; Preface; Acknowledgments; The Author; Guest Contributors; Glossary of Acronyms; Chapter 1. Introduction; Chapter 2. Network Architectures; Chapter 3. Model Design and Selection Considerations; Chapter 4. Intelligent Neural Network Systems and Evolutionary Learning; Chapter 5. Applications in Biological and Biomedical Analysis; Chapter 6. Applications in Environmental Analysis; Appendix I: Review of Basic Matrix Notation and Operations; Appendix II: Cytochrome P450 (CYP450) Isoform Data Set Used in Michielan et al. (2009) 327 $aAppendix III: A 143-Member VOC Data Set andCorresponding Observed andPredicted Values of Air-to-Blood Partition CoefficientsColor Insert; Back cover 330 $aDrawing on the experience and knowledge of a practicing professional, this book provides a comprehensive introduction and practical guide to the development, optimization, and application of artificial neural networks (ANNs) in modern environmental and biological analysis. Based on our knowledge of the functioning human brain, ANNs serve as a modern paradigm for computing. Presenting basic principles of ANNs together with simulated biological and environmental data sets and real applications in the field, this volume helps scientists comprehend the power of the ANN model to explain physical concepts and demonstrate complex natural processes--$cProvided by publisher. 410 0$aAnalytical chemistry series. 606 $aArtificial intelligence$xBiological applications 606 $aBiology$xData processing 606 $aEnvironmental engineering$xData processing 606 $aNeural networks (Computer science)$xScientific applications 608 $aElectronic books. 615 0$aArtificial intelligence$xBiological applications. 615 0$aBiology$xData processing. 615 0$aEnvironmental engineering$xData processing. 615 0$aNeural networks (Computer science)$xScientific applications. 676 $a570.285/63 700 $aHanrahan$b Grady.$0759227 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910458663503321 996 $aArtificial neural networks in biological and environmental analysis$92048254 997 $aUNINA LEADER 01216nam a2200253 i 4500 001 991000033269707536 005 20020509160950.0 008 960614s1971 de ||| | ger 035 $ab11298534-39ule_inst 035 $aPARLA200310$9ExL 040 $aDip.to scienze storiche$bita 100 1 $aBohmer, Johann Friedrich$0485515 245 14$aDie Regesten des Kaiserreichs unter Philipp, Otto 4. 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