LEADER 09553 am 2201453 n 450 001 9910416509103321 005 20200206 010 $a2-35668-177-9 024 7 $a10.4000/books.momeditions.7816 035 $a(CKB)4100000010654424 035 $a(FrMaCLE)OB-momeditions-7816 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/50674 035 $a(PPN)243313322 035 $a(EXLCZ)994100000010654424 100 $a20200319j|||||||| ||| 0 101 0 $aeng 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Iranian Plateau during the Bronze Age $eDevelopment of urbanisation, production and trade /$fJan-Waalke Meyer, Emmanuelle Vila, Marjan Mashkour, Michèle Casanova, Régis Vallet 210 $aLyon $cMOM Éditions$d2020 215 $a1 online resource (356 p.) 311 $a2-35668-063-2 327 $tPreface /$rEmanuelle Vila, Marjan Mashkour, Re?gis Vallet, Miche?le Casanova, Jan-Waalke Meyer.$tThe Global Context of the Bronze Age on the Iranian Plateau.$tEarly urbanisation in Iran : A view from the west : some considerations about the theory of urbanisation /$rJan-Waalke Meyer.$tExpansion of the Kura-Araxes Culture in Iran.$tThe expansion of the Kura-Araxes culture in Iran : what role for the Uruk? /$rGiulio Palumbi --$tIran and the Kura-Araxes cultural tradition, so near and yet so far /$rSepideh Maziar --$tSubsistence economy in Kohneh Pasgah Tepesi (eastern Azerbaijan, Iran) during the Late Chalcolithic and the Early Bronze Age based on the faunal and botanical remains /$rAlexia Decaix, Fatemeh Azedeh Mohaseb, Sepideh Maziar, Marjan Mashkour, Margareta Tengberg --$tToward a definition of the Kura-Araxes agropastoral systems /$rAlexia Decaix, Re?mi Berthon, Fatemeh Azadeh Mohaseb, Margareta Tengberg.$tElamite Kingdom.$tSusa at the turn of the 4th and 3rd millennia /$rAlain Le Brun --$tAn overview of the settlement patterns of Susa III period in the Upper Khuzestan : Archaeological survey in the western bank of the Karkheh river /$rAli Zalaghi --$tFrom the Proto-Elamite to Shimashki : the third millennium BC at Tappeh Senjar, the Susiana Plain /$rAlireza Sardari, Samira Attarpour --$tIn search of cities in Elam : For a geoarchaeological approach to the toponym-hydronym interaction /$rElnaz Rashidian.$tUrbanisation in Eastern Iran.$tTureng Tepe and its high terrace, a reassessment /$rJulie Bessenay-Prolonge, Re?gis Vallet --$tPreliminary report on the first season of excavations at Tepe Chalow : New GKC (BMAC) finds in the plain of Jajarm, NE Iran /$rAli A. Vahdati, Raffaele Biscione, Riccardo La Farina, Marjan Mashkour, Margareta Tengberg, Homa Fathi, Azadeh Mohaseb --$tRegional patterns of Early Bronze Age urbanization in the southeastern Iran : New discoveries on the western fringe of Dasht-e Lut /$rNasir Eskandari --$tA pyrotechnological installation from the "metallurgical workshop" at Shahdad and its next geographical and chronological comparisons /$rDavid M.P. Meier.$tProduction and Trade.$tThe Contribution of women to trade and production in Elam society /$rMina Dabbagh --$tIran and Central Asia : The Grand'Route of Khorasan (Great Khorasan Road) during the third millennium BC and the "dark stone" artefacts /$rHenri-Paul Francfort --$tBronze Age interaction on the Iranian Plateau : From Kerman to the Oxus through seals /$rHolly Pittman --$tPrestige objects in South East of Iran during the Bronze Age in the National Museum of Iran /$rSedigheh Piran --$tExchanges and trade during the Bronze Age in Iran /$rMiche?le Casanova --$tThe biography of a dagger type : The diachronic transformation of the dagers with the crescent-shaped guard /$rBabak Rafiei-Alavi.$tThe Transition to Iron Age.$tThe Bronze Age and the Iron Age on the Central Iranian Plateau : Two successive cultures or the appearance of a new culture? /$rHamid Fahimi.$tConclusion.$tThe urbanisation of the Iranian Plateau and adjacent areas during the Bronze Age : Concluding thoughts /$rJan-Waalke Meyer, Emmanuelle Vila, Re?gis Vallet, Marjan Mashkour. 330 $aThe book compiles a portion of the contributions presented during the symposium ?Urbanisation, commerce, subsistence and production during the third millennium BC on the Iranian Plateau?, which took place at the Maison de l?Orient et de la Méditerranée in Lyon, the 29-30 of April, 2014. The twenty papers assembled provide an overview of the recent archaeological research on this region of the Middle East during the Bronze Age. The socio-economic transformation from rural villages to towns and nations has prompted many questions into this evolution of urbanisation. What was the impact of interactions between cultures in the Iranian Plateau and the surrounding regions (Mesopotamia, the South Caucasus, Central Asia, Indus Valley)? What was the overall context during the Bronze Age on the Iranian Plateau? What was the extent and means of the expansion of the Kuro-Araxe culture? How did the Elamite Kingdom become established? What new knowledge has been contributed by the recent excavations and studies undertaken in the east of Iran? What was the influence of the Indus Valley culture, known as an epicentre of urbanisation in South Asia? What are the unique characteristics of the ancient cultures in Iran? While the urbanisation of early Mesopotamia has been the subject of much debate for several decades, this topic has only recently been raised in respect to the Iranian Plateau. This volume is the product of an international community from Iranian, European, and American institutions, consisting of recognised specialists in the archaeology of the Iranian Bronze Age. It provides an overview of the latest research, including abundant results from current on-going excavations. The current state of archaeological research in Iran, comprising many dynamic questions and perspectives, is presented here in the form of original contributions on the first emergence of towns in the Near and Middle East. L?ouvrage rassemble une partie des contributions présentées lors du colloque? 517 $aIranian Plateau during the Bronze Age 606 $aArchaeology 606 $aNear East 606 $aMiddle East 606 $aMesopotamia 606 $aCentral Asia 606 $aBronze Age 606 $aIron Age 606 $aKura-Araxes 606 $aElam 606 $aarchaeology 606 $ageoarchaeology 606 $abioarchaeology 606 $aiconography 606 $aâge du Bronze 606 $aâge du Fer 606 $aKuro-Araxe 606 $aarchéologie 606 $agéoarchéologie 606 $abioarchéologie 606 $aiconographie 607 $aIran$xAntiquities$vCongresses 607 $aIran$2fast 607 $aIranian Plateau$2tgn 608 $aConference papers and proceedings.$2fast 608 $aConference papers and proceedings.$2lcgft 610 $aIron Age 610 $aNear East 610 $aCentral Asia 610 $aiconography 610 $aMiddle East 610 $aMesopotamia 610 $aElam 610 $aarchaeology 610 $aKura-Araxes 610 $aBronze Age 610 $ageoarchaeology 610 $abioarchaeology 615 4$aArchaeology 615 4$aNear East 615 4$aMiddle East 615 4$aMesopotamia 615 4$aCentral Asia 615 4$aBronze Age 615 4$aIron Age 615 4$aKura-Araxes 615 4$aElam 615 4$aarchaeology 615 4$ageoarchaeology 615 4$abioarchaeology 615 4$aiconography 615 4$aâge du Bronze 615 4$aâge du Fer 615 4$aKuro-Araxe 615 4$aarchéologie 615 4$agéoarchéologie 615 4$abioarchéologie 615 4$aiconographie 700 $aAttarpour$b Samira$01283809 701 $aBerthon$b Rémi$01283810 701 $aBessenay-Prolonge$b Julie$01283811 701 $aBiscione$b Raffaele$0640192 701 $aCasanova$b Michèle$0714286 701 $aDabbagh$b Mina$01283812 701 $aDecaix$b Alexia$01283813 701 $aEskandari$b Nasir$01283814 701 $aFahimi$b Hamid$0618742 701 $aFathi$b Homa$01283815 701 $aFrancfort$b Henri-Paul$0636732 701 $aLa Farina$b Riccardo$01283816 701 $aLe Brun$b Alain$01283817 701 $aMashkour$b Marjan$01283818 701 $aMaziar$b Sepideh$01283819 701 $aMeier$b David M.P$01283820 701 $aMeyer$b Jan-Waalke$0647233 701 $aMeyer$b Jan?Waalke$01283821 701 $aMohaseb$b Fatemeh Azadeh$01283822 701 $aPalumbi$b Giulio$01283823 701 $aPiran$b Sedigheh$01283824 701 $aPittman$b Holly$01092717 701 $aRafiei-Alavi$b Babak$01283825 701 $aRashidian$b Elnaz$01283826 701 $aSardari$b Alireza$01283827 701 $aTengberg$b Margareta$01283828 701 $aVahdati$b Ali A$01283829 701 $aVallet$b Régis$01283830 701 $aVila$b Emmanuelle$01283831 701 $aZalaghi$b Ali$01283832 701 $aMeyer$b Jan-Waalke$0647233 701 $aVila$b Emmanuelle$01283831 701 $aMashkour$b Marjan$01283818 701 $aCasanova$b Michèle$0714286 701 $aVallet$b Régis$01283830 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910416509103321 996 $aThe Iranian Plateau during the Bronze Age$93019192 997 $aUNINA LEADER 07988nam 2200625Ia 450 001 9910782119903321 005 20230617010820.0 010 $a1-281-93460-7 010 $a9786611934606 010 $a981-279-471-9 035 $a(CKB)1000000000537777 035 $a(StDuBDS)AH24685125 035 $a(SSID)ssj0000253875 035 $a(PQKBManifestationID)11195530 035 $a(PQKBTitleCode)TC0000253875 035 $a(PQKBWorkID)10206087 035 $a(PQKB)11567464 035 $a(MiAaPQ)EBC1681735 035 $a(WSP)00005589 035 $a(Au-PeEL)EBL1681735 035 $a(CaPaEBR)ebr10255850 035 $a(CaONFJC)MIL193460 035 $a(OCoLC)815752347 035 $a(iGPub)WSPCB0005091 035 $a(EXLCZ)991000000000537777 100 $a20050213d2004 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aSupport vector machine in chemistry$b[electronic resource] /$fNianyi Chen ... [et al.] 210 $aSingapore ;$aHackensack, N.J. $cWorld Scientific$dc2004 215 $a1 online resource (344p.) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a981-238-922-9 320 $aIncludes bibliographical references (p. 319-327) and index. 327 $a1. Introduction. 1.1. Support vector machine: data processing method for problems of small sample size. 1.2. Support vector machine: data processing method for complicated data sets in chemistry. 1.3. Underfitting and overfitting: problems of machine learning. 1.4. Theory of overfitting and underfitting control, ERM and SRM principles of statistical learning theory. 1.5. Concept of large margin - a basic concept of SVM. 1.6. Kernel functions: technique for nonlinear data processing by linear algorithm. 1.7. Support vector regression: regression based on principle of statistical learning theory. 1.8. Other machine learning methods related to statistical learning theory. 1.9. Some comments on the application of SVM in chemistry -- 2. Support Vector Machine. 2.1. Margin and optimal separating plane. 2.2. Interpretation by statistical learning therory. 2.3. Support vector classification. 2.4. Support vector regression. 2.5 V-SVM -- 3. Kernel functions. 3.1. Introduction. 3.2. Mercer kernel. 3.3. Properties of kernel. 3.4. Kernel selection -- 4. Feature selection using support vector machine. 4.1. Significance and difficulty of feature selection in chemical data processing. 4.2. SVM-BFS - application of wrapper method and floating search method. 4.3. SVM-RFE: application of optimal brain damage and recursive feature elimination. 4.4. Multitask learning. 4.5. Computer experiments: feature selection of artificially generated data set -- 5. Principle of atomic or molecular parameter-data processing method. 5.1. Two different strategies for structure-property relationship investigation. 5.2. Number of valence electrons of atoms. 5.3. Ionization potential of atoms. 5.4. Atomic radii and ionic radii. 5.5. Electronegativity. 5.6. Charge-radius ratio. 5.7. Topological parameters of molecules and 3-D molecular descriptors. 5.8. Atomic parameters for ionic systems. 5.9. Atomic parameters for covalent compounds. 5.10. Atomic parameters for metallic systems -- 6. SVM applied to phase diagram assessment and prediction. 6.1. Comprehensive assessment and computerized prediction of phase diagrams. 6.2.Atomic parameter-pattern recognition method for phase diagram prediction. 6.3. Prediction of intermediate compound formation. 6.4. Prediction of formation of extended solid solutions. 6.5. Prediction of melting types of intermediate compounds. 6.6. Modeling of melting points or decomposition temperature of intermediate compounds. 6.7. Prediction of crystal types of intermediate compounds. 6.8. Modeling of liquid-liquid immiscibility of inorganic systems. 6.9. SVM applied to intelligent database of phase diagrams. 327 $a7. SVM applied to thermodynamic property prediction. 7.1. Significance of estimation of thermodynamic properties of chemical substances. 7.2. Modeling of enthalpy of formation of compounds. 7.3. Modeling of free energy of mixing of liquid alloy systems. 7.4 Prediction of activity coefficient of concentrated electrolyte solutions. 7.5. Regularity of the solubility of C[symbol] in organic solvents -- 8. SVM applied to molecular and materials design. 8.1. concepts of molecular design and materials design. 8.2. SVM applied to new compound synthesis problems. 8.3. SVM applied to the computerized prediction of properties of materials. 8.4. SVM applied to process design for materials preparation -- 9. SVM applied to structure-activity relationships. 9.1. Concept of Structure-Activity Relationships (SAR). 9.2. Brief Introduction to some of chemometric methods used in SAR. 9.3. Brief introduction to molecular descriptors used in SAR. 9.4 SAR of N-(3-Oxo-3,4-dihydro-2H-benzo[l,4]oxazine-6-carbonyl) guanidines. 9.5. SAR of triazole-derivatives. 9.6. SAR of the 5-hydroxytryptamine receptor antagonists. 9.7. QSAR of N-phenylacetamides as herbicides -- 10. SVM applied to data of trace element analysis. 10.1. Trace element science and chemical data processing. 10.2. SVM applied to trace element analysis of human hair. 10.3. SVM applied to trace elements analysis of cigarettes. 10.4. SVM applied to trace element analysis of tea -- 11. SVM applied to archeological chemistry of ancient ceramics. 11.1. SVM applied to archeological data processing. 11.2. Identification of Jun Wares of Song Dynasty. 11.3. Modeling of official Ru Wares. 11.4. Modeling of composition of Yue Wares. 11.5. Modeling of composition of blue and white porcelain samples. 11.6. Archeological research of ancient porcelain kilns. 11.7. Period discrimination of ancient samples -- 12. SVM applied to cancer research. 12.1. SVM applied to cancer epidemiology. 12.2. Carcinogenic and environmental behaviors of polycyclic aromatic hydrocarbons. 12.3. SVM applied to cancer diagnosis -- 13. SVM applied to some topics of chemical analysis. 13.1. Multivariate calibration in chemical analysis. 13.2. Retention indices estimation in chromatography. 13.3. Detection of hidden explosives -- 14. SVM applied to chemical and metallurgical technology. 14.1. Physico-chemical basis of modeling of chemical processes. 14.2. Characteristics of data processing for industrial process modeling. 14.3. Optimal zone: strategy of large margin search. 14.4. Application of strategy of large margin search. 14.5. Optimal control for target maximization or minimization. 14.6. Optimal control for problem of restricted response. 14.7. Materials properties estimation for production process. 14.8. Comprehensive strategy for industrial optimization. 330 $bIn recent years, the support vector machine (SVM), a new data processing method, has been applied to many fields of chemistry and chemical technology. Compared with some other data processing methods, SVM is especially suitable for solving problems of small sample size, with superior prediction performance. SVM is fast becoming a powerful tool of chemometrics. This book provides a systematic approach to the principles and algorithms of SVM, and demonstrates the application examples of SVM in QSAR/QSPR work, materials and experimental design, phase diagram prediction, modeling for the optimal control of chemical industry, and other branches in chemistry and chemical technology. 606 $aChemistry$xData processing 606 $aChemistry, Technical$xData processing 606 $aMachine learning 615 0$aChemistry$xData processing. 615 0$aChemistry, Technical$xData processing. 615 0$aMachine learning. 676 $a540.285631 701 $aChen$b Nianyi$01531940 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910782119903321 996 $aSupport vector machine in chemistry$93777918 997 $aUNINA