LEADER 04116nam 22006255 450 001 9910338006903321 005 20200702135304.0 010 $a9781484244210 010 $a1484244214 024 7 $a10.1007/978-1-4842-4421-0 035 $a(CKB)4100000007938064 035 $a(MiAaPQ)EBC5788933 035 $a(DE-He213)978-1-4842-4421-0 035 $a(CaSebORM)9781484244210 035 $a(PPN)235671592 035 $a(OCoLC)1102269317 035 $a(OCoLC)on1102269317 035 $a(EXLCZ)994100000007938064 100 $a20190412d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Neural Networks with Java $eTools for Building Neural Network Applications /$fby Igor Livshin 205 $a1st ed. 2019. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2019. 215 $a1 online resource (xix, 566 pages) $cillustrations 300 $aIncludes index. 311 08$a9781484244203 311 08$a1484244206 327 $aChapter 1. Learning Neural Networks -- Chapter 2. Internal Mechanism of Neural Network Processing -- Chapter 3. Manual Neural Network Processing -- Chapter 4. Java Environment and Development Tools for Building Neural Network Applications -- Chapter 5. Neural Network Development Using Java Framework -- Chapter 6. Neural network Prediction outside of the Training Range -- Chapter 7. Processing More Complex Periodic Functions -- Chapter 8. Processing Non-continuous Functions -- Chapter 9. Approximation Continuous Functions with Complex Topology -- Chapter 10. Using Neural Network for Classification of Objects -- Chapter 11. Importance of Selecting a Correct Model -- Chapter 12. Approximation of Functions in 3-D Space. 330 $aUse Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. 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You will: Prepare your data for many different tasks Carry out some unusual neural network tasks Create neural network to process non-continuous functions Select and improve the development model . 606 $aJava (Computer program language) 606 $aArtificial intelligence 606 $aOpen source software 606 $aComputer programming 606 $aJava$3https://scigraph.springernature.com/ontologies/product-market-codes/I29070 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aOpen Source$3https://scigraph.springernature.com/ontologies/product-market-codes/I29090 615 0$aJava (Computer program language) 615 0$aArtificial intelligence. 615 0$aOpen source software. 615 0$aComputer programming. 615 14$aJava. 615 24$aArtificial Intelligence. 615 24$aOpen Source. 676 $a006.32 700 $aLivshin$b Igor$4aut$4http://id.loc.gov/vocabulary/relators/aut$0905428 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910338006903321 996 $aArtificial Neural Networks with Java$92536855 997 $aUNINA LEADER 01826nam 22004813 450 001 9911047818003321 005 20250926080321.0 010 $a9783032047007 035 $a(CKB)41002290800041 035 $a(MiAaPQ)EBC32316931 035 $a(Au-PeEL)EBL32316931 035 $a(OCoLC)1544987566 035 $a(EXLCZ)9941002290800041 100 $a20250926d2025 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFundamentals of Computation Theory $e25th International Symposium, FCT 2025, Wroc?aw, Poland, September 15-17, 2025, Proceedings 205 $a1st ed. 210 1$aCham :$cSpringer,$d2025. 210 4$d©2026. 215 $a1 online resource (875 pages) 225 1 $aLecture Notes in Computer Science Series ;$vv.16106 311 08$a9783032046994 330 $aThis book constitutes the proceedings of the 25th International Symposium on Fundamentals of Computation Theory, FCT 2025, held in WrocÅ‚aw, Poland, during September 15-17, 2025.The 32 full papers included in this volume were carefully reviewed and selected from 50 submissions. 410 0$aLecture Notes in Computer Science Series 606 $aCOMPUTERS / Database Administration & Management$2bisacsh 606 $aCOMPUTERS / Information Theory$2bisacsh 606 $aMATHEMATICS / Applied$2bisacsh 615 7$aCOMPUTERS / Database Administration & Management 615 7$aCOMPUTERS / Information Theory 615 7$aMATHEMATICS / Applied 700 $aJe?$b Artur$01849985 701 $aOtop$b Jan$01849986 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911047818003321 996 $aFundamentals of Computation Theory$94442737 997 $aUNINA