Neutrosophic Computing and Machine Learning (NCML): An lnternational Book Series in lnformation Science and Engineering. Volume 13/2020

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Title: Neutrosophic Computing and Machine Learning (NCML): An lnternational Book Series in lnformation Science and Engineering. Volume 13/2020
Description: 'Neutrosophic Computing and Machine Learning'(NCML) has been created for publications of advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic approaches to machine learning etc. and their applications in any field.'Neutrosophic Computing and Machine Learning'(NCML) ha sido creada para publicaciones de estudios avanzados en neutrosofía, conjunto neutrosófico, lógica neutrosófica, probabilidad neutrosófica, estadística neutrosófica, enfoques neutrosó-ficos para el aprendizaje automático, etc. y sus aplicaciones en cual-quier campo. Contributors to current issue (listed in papers'order): Angel Carlos Yumar Carralero, Darvin Manuel Ramírez Guerra, Giorver Pérez Iribar, Eilén Reyes Miranda, Barbarita Mitjans Moreno, Martín González González, Yaidelyn Moreno Mena, Llenesia Soriano Rodríguez, Eloína Núñez López, Luís Alfonso Massón Hernández, Osvey Pérez Álvarez, Gil Ramos Blanco, Fidelina Castillo Morales, Angel Carlos Yumar Carralero, Darvin Manuel Ramírez Guerra, Giorver Pérez Iribar.
Authors: Florentin Smarandache, Maikel Leyva-Vázquez
Resource Type: eBook.
Subjects: Machine learning, Logic, Logic, Symbolic and mathematical
Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Applied
Database: eBook Collection (EBSCOhost)
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  Data: Neutrosophic Computing and Machine Learning (NCML): An lnternational Book Series in lnformation Science and Engineering. Volume 13/2020
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  Data: 'Neutrosophic Computing and Machine Learning'(NCML) has been created for publications of advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic approaches to machine learning etc. and their applications in any field.'Neutrosophic Computing and Machine Learning'(NCML) ha sido creada para publicaciones de estudios avanzados en neutrosofía, conjunto neutrosófico, lógica neutrosófica, probabilidad neutrosófica, estadística neutrosófica, enfoques neutrosó-ficos para el aprendizaje automático, etc. y sus aplicaciones en cual-quier campo. Contributors to current issue (listed in papers'order): Angel Carlos Yumar Carralero, Darvin Manuel Ramírez Guerra, Giorver Pérez Iribar, Eilén Reyes Miranda, Barbarita Mitjans Moreno, Martín González González, Yaidelyn Moreno Mena, Llenesia Soriano Rodríguez, Eloína Núñez López, Luís Alfonso Massón Hernández, Osvey Pérez Álvarez, Gil Ramos Blanco, Fidelina Castillo Morales, Angel Carlos Yumar Carralero, Darvin Manuel Ramírez Guerra, Giorver Pérez Iribar.
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  Data: <searchLink fieldCode="AR" term="%22Florentin+Smarandache%22">Florentin Smarandache</searchLink><br /><searchLink fieldCode="AR" term="%22Maikel+Leyva-Vázquez%22">Maikel Leyva-Vázquez</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Logic%22">Logic</searchLink><br /><searchLink fieldCode="DE" term="%22Logic%2C+Symbolic+and+mathematical%22">Logic, Symbolic and mathematical</searchLink>
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        Type: prePub
    Languages:
      – Code: spa
        Text: Spanish
    Subjects:
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Logic
        Type: general
      – SubjectFull: Logic, Symbolic and mathematical
        Type: general
    Titles:
      – TitleFull: Neutrosophic Computing and Machine Learning (NCML): An lnternational Book Series in lnformation Science and Engineering. Volume 13/2020
        Type: main
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          Name:
            NameFull: Florentin Smarandache
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          Name:
            NameFull: Maikel Leyva-Vázquez
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            NameFull: Florentin Smarandache
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            NameFull: Maikel Leyva-Vázquez
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2020
            – D: 13
              M: 09
              Type: profile
              Y: 2022
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            – Type: isbn-electronic
              Value: 9781599736686
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            – Type: volume
              Value: 00013
          Titles:
            – TitleFull: Neutrosophic Computing and Machine Learning (NCML): An lnternational Book Series in lnformation Science and Engineering. Volume 13/2020
              Type: main
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