LEADER 01541nam2-2200445---450- 001 990003191420203316 005 20090706152237.0 010 $a978-88-04-57385-2 035 $a000319142 035 $aUSA01000319142 035 $a(ALEPH)000319142USA01 035 $a000319142 100 $a20090128d2008----km-y0itay0103----ba 101 1 $aita$cgre 102 $aIT 105 $ay|||z|||001yy 105 $aaf||||||001yy 200 1 $a<> <> mito e la dottrina$etesti manichei dell'Asia centrale e della Cina$fa cura di Gherardo Gnoli$gcon la collaborazione di Carlo G. Cereti...[et al.]$ge con l'assistenza di Andrea Piras 210 $a[Milano]$cFondazione Lorenzo Valla$cA. Mondadori$d2008 215 $aXXVI, 534 p.$cill.$d20 cm 225 2 $aScrittori greci e latini 300 $aTesto orig. a fronte 410 0$12001$aScrittori greci e latini 461 1$1001000118596$12001$a<> Manicheismo 676 $a299.932 702 1$aGNOLI,$bGherardo 702 1$aCERETI$bCarlo G. 702 1$aPIRAS,$bAndrea 801 0$aIT$bsalbc$gISBD 912 $a990003191420203316 951 $aV.1. Coll. 21/33/3$b214955 L.M.$cV.1. Coll.$d000184584 951 $aV.1. Coll. 21/33/3a$b213801 L.M.$cV.1. Coll.$d00227437 959 $aBK 969 $aUMA 979 $aPAOLA$b90$c20090128$lUSA01$h1623 979 $aPAOLA$b90$c20090128$lUSA01$h1712 979 $aCHIARA$b90$c20090706$lUSA01$h1521 979 $aCHIARA$b90$c20090706$lUSA01$h1522 996 $aMito e la dottrina$91015944 997 $aUNISA LEADER 05029nam 22007815 450 001 9910483193303321 005 20251116165637.0 010 $a3-642-38679-2 024 7 $a10.1007/978-3-642-38679-4 035 $a(CKB)2560000000105656 035 $a(DE-He213)978-3-642-38679-4 035 $a(SSID)ssj0000936343 035 $a(PQKBManifestationID)11536213 035 $a(PQKBTitleCode)TC0000936343 035 $a(PQKBWorkID)10963079 035 $a(PQKB)11235253 035 $a(MiAaPQ)EBC3093005 035 $a(PPN)170492540 035 $a(EXLCZ)992560000000105656 100 $a20130622d2013 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Intelligence $e12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part I /$fedited by Ignacio Rojas, Gonzalo Joya, Joan Cabestany 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (XXVIII, 661 p. 228 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v7902 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-642-38678-4 327 $aIt?s as Easy as ABC: Introducing Anthropology-Based Computing -- Extreme Learning Machine: A Robust Modeling Technique? Yes! -- A Novel Framework to Design Fuzzy Rule-Based Ensembles Using Diversity Induction and Evolutionary Algorithms-Based Classifier Selection and Fusion -- Using Nonlinear Dimensionality Reduction to Visualize Classifiers -- Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study -- Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller -- A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel -- Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks -- Diffusion Methods for Wind Power Ramp Detection -- Computational Study Based on Supervised Neural Architectures for Fluorescence Detection of Fungicides -- Study of Alternative Strategies to Selection of Peer in P2P Wireless Mesh Networks -- A Cloud-Based Neural Network Simulation Environment -- Performance Evaluation over Indoor Channels of an Unsupervised Decision-Aided Method for OSTBC Systems -- On Second Language Tutoring through Womb Grammars -- Simulated Annealing for Real-Time Vertical-Handoff in Wireless Networks -- Ant Colony Optimization Inspired Algorithm for 3D Object Segmentation -- Alternative OVA Proposals for Cooperative Competitive RBFN Design in Classification Tasks -- A Genetic Algorithms-Based Approach for Optimizing Similarity Aggregation in Ontology Matching -- Self-organized Learning by Self-Enforcing Networks. 330 $aThis two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v7902 606 $aBioinformatics 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aData mining 606 $aComputer science 606 $aComputational and Systems Biology 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 606 $aData Mining and Knowledge Discovery 606 $aModels of Computation 606 $aBioinformatics 615 0$aBioinformatics. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 0$aData mining. 615 0$aComputer science. 615 14$aComputational and Systems Biology. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 615 24$aData Mining and Knowledge Discovery. 615 24$aModels of Computation. 615 24$aBioinformatics. 676 $a006.3 702 $aRojas$b Ignacio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJoya$b Gonzalo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCabestany$b Joan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483193303321 996 $aAdvances in Computational Intelligence$94209925 997 $aUNINA