Capturing Connectivity and Causality in Complex Industrial Processes

This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas are of great importance in analysing and influencing mechanisms,...

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Detalles Bibliográficos
Autor principal: Yang, Fan
Otros Autores: Duan, Ping, Shah, Sirish L., Chen, Tongwen
Formato: Libro electrónico
Lenguaje:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2014.
Colección:SpringerBriefs in Applied Sciences and Technology,
Materias:
Engineering.
Chemical engineering.
Mathematical models.
Statistics.
Complexity, Computational.
Control engineering.
Complexity.
Mathematical Modeling and Industrial Mathematics.
Industrial Chemistry
Physics, Computer Science, Chemistry and Earth Sciences.
Acceso en línea:http://dx.doi.org/10.1007/978-3-319-05380-6
Aporte de:Registro referencial: Solicitar el recurso aquí
Bibliotecas (ING-UNLP) de Universidad Nacional de La Plata
Tabla de Contenidos:
  • Introduction
  • Examples of Applications for Connectivity and Causality Analysis
  • Description of Connectivity and Causality
  • Capturing Connectivity and Causality from Process Knowledge
  • Capturing Causality from Process Data
  • Case Studies.

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