01453nam2 2200349 450 00001028320080924082352.02-7056-1175-4Fascicule XIII20080423d19631967km-y0itay50------bafreFRy-------001yyIntégrationN. Bourbaki2. ed. revue et augmenteeParisHermann1963-1967v.24 cmActualités scientifiques et industriellesFascicoli 13, 21, 29 dell'opera "Èléments de mathématique"Chapitre 1: Inégalités de convexité ; Chapitre 2: Espaces de Riesz ; Chapitre 3: Mesures sur les espaces localement compacts ; Chapitre 4: Prolongement d'une mesure Espaces LpChapitre 5: Intégration des mesuresChapitre 7: Mesure de Haar ; Chapitre 8: Convolution et représentationsChapitre 9: Intégration sur les espaces topologiques séparés2001Actualités scientifiques et industrielles001000009971Matematica510.820MatematicaBourbaki,Nicolas334608ITUNIPARTHENOPE20080421RICAUNIMARC000010283BEM 510/1319658NAVA120080421BEM 510/1419659NAVA120080421BEM 510/1519660NAVA120080421BEM 510/15 bis19661NAVA120080924Intégration884712UNIPARTHENOPE03557nam 22006615 450 99646548700331620200703182155.03-540-30118-610.1007/b99869(CKB)1000000000212513(DE-He213)978-3-540-30118-9(SSID)ssj0000124255(PQKBManifestationID)11129070(PQKBTitleCode)TC0000124255(PQKBWorkID)10011155(PQKB)10554605(MiAaPQ)EBC3088222(PPN)15522669X(EXLCZ)99100000000021251320121227d2004 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierCoevolutionary Fuzzy Modeling[electronic resource] /edited by Carlos Andrés Peña-Reyes1st ed. 2004.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2004.1 online resource (XIV, 134 p.) Lecture Notes in Computer Science,0302-9743 ;3204Bibliographic Level Mode of Issuance: Monograph3-540-22994-9 Includes bibliographical references.1 Introduction -- 2 Evolutionary Fuzzy Modeling -- 3 Coevolutionary Fuzzy Modeling -- 4 Breast Cancer Diagnosis by Fuzzy CoCo -- 5 Analyzing Fuzzy CoCo -- 6 Extensions of the Methodology -- 7 Conclusions and Future Work.Building on fuzzy logic and evolutionary computing, this book introduces fuzzy cooperative coevolution as a novel approach to systems design, conductive to explaining human decision process. Fuzzy cooperative coevolution is a methodology for constructing systems able to accurately predict the outcome of a decision-making process, while providing an understandable explanation of the underlying reasoning. The central contribution of this work is the use of an advanced evolutionary technique, cooperative coevolution, for dealing with the simultaneous design of connective and operational parameters. Cooperative coevolution overcomes several limitations exhibited by other standard evolutionary approaches. The applicability of fuzzy cooperative coevolution is validated by modeling the decision processes of three real-world problems, an iris data benchmark problem and two problems from breast cancer diagnosis.Lecture Notes in Computer Science,0302-9743 ;3204ComputersMathematical logicArtificial intelligenceComputation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computers.Mathematical logic.Artificial intelligence.Computation by Abstract Devices.Mathematical Logic and Formal Languages.Artificial Intelligence.511.3223Peña Reyes Carlos Andrés600491Peña-Reyes Carlos Andrésedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465487003316Coevolutionary fuzzy modeling1023381UNISA