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Predicción o pronóstico. Caso para un sistema complejo.

Prediction or forecast appears frequently to solve making decisions problems, especially when using large databases. Statistical methods to support decisions are discussed, first determining the probability of an event, second using linear regression, finally main objective in this paper we use mach...

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Publicado en:Hospitalidad ESDAI no. 31; pp. 31 - 45
Autores principales: Ramos Báez, José Cruz, de Lourdes Martínez Villaseñor, María, Elguea Fernández, Lorenzo Miguel
Formato: Artículo
Publicado: Universidad Panamericana ene-jun2017
Materias:
Probability theory
Digital signal processing
Regression analysis
Decision making
Machine learning
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Predicción o pronóstico. Caso para un sistema complejo.
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          Ramos Báez, José Cruz
          de Lourdes Martínez Villaseñor, María
          Elguea Fernández, Lorenzo Miguel
      su:
        Probability theory
        Digital signal processing
        Regression analysis
        Decision making
        Machine learning
      sug:
        subj:
          Probability theory
          Digital signal processing
          Regression analysis
          Decision making
          Machine learning
      keyword:
        complex system
        forecast
        Machine Learning
        Prediction
        regression
        aprendizaje máquina
        Predicción
        pronóstico
        regresión
        sistema complejo
      ab:
        Prediction or forecast appears frequently to solve making decisions problems, especially when using large databases. Statistical methods to support decisions are discussed, first determining the probability of an event, second using linear regression, finally main objective in this paper we use machine learning techniques for failure prediction in a Digital Signal Distribution complex system.
        El tema de predicción o pronóstico aparece en todo momento al solucionar problemas de toma de decisiones, sobre todo al utilizar grandes bases de datos. En este artículo se comentan métodos estadísticos para toma de decisiones o inferencias, primero empleando la probabilidad de un evento, segundo usando regresión lineal, finalmente como objetivo principal, se emplea una base de datos de un sistema complejo o Distribuidor de Señales Digitales (DSD) y con ayuda de las herramientas de aprendizaje máquina predecir una falla del sistema.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: Spanish
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