LEADER 03635oam 2200697I 450 001 9910791559603321 005 20230124184441.0 010 $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 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 $a570.285/63 686 $aMAT029000$aSCI013000$aSCI013010$2bisacsh 700 $aHanrahan$b Grady.$0759227 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910791559603321 996 $aArtificial neural networks in biological and environmental analysis$93695960 997 $aUNINA