Regression models for the prediction of high impact polystyrene properties using operational variables

Documents similaires

• Egg hatchability prediction by multiple linear regression and artificial neural networks
  par: AC Bolzan
  Publié: (2008)
• Analysis of fat mass value, clinical and metabolic data and interleukin-6 in HIV-positive males using regression analyses and artificial neural network
  par: Nurul Farhah Shamsuddin
  Publié: (2022)
• Forecasting of short-term flow freight congestion: A study case of Algeciras Bay Port (Spain)
  par: Juan Jesús Ruiz-Aguilar
  Publié: (2016)
• Application of Weibull analysis and artificial neural networks to predict the useful life of the vacuum packed soft cheese
  par: Jesús Alexander Sánchez-González
  Publié: (2017)
• Balancing of a rigid rotor using artificial neural network to predict the correction masses
  par: Fábio Lúcio Santos
  Publié: (2009)