International Journal of Advancements in Technology
Open Access

Editorial Office, International Journal of Advancement in Technology, Spain

Publications

• Opinion Article   
  Machine Learning Mathematical Models
  Author(s): Erica Meriona*
  
  The primary scientific paradigm for modelling real-world systems and natural phenomena is the extraction of information from senses, formalisation of that information, and empirical verification of the model. Differential equations, for example, are used to express physical laws, chemical reactions, and dynamical behaviours, and verification can be thought of as predicting the procedure's future conditions. We conclude that adequate interactivities would benefit both professions. Information and methods collected for modelling physical phenomena in fields such as soft computing or material sciences are an initial source of knowledge for structuring effective learning systems, and the ML pattern could open up new horizons for modelling natural phenomena in the opposite direction. This is the core problem we address: how might general knowledge gleaned from a phenomenon modelling pa.. View More»
  

  Abstract PDF