Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Didactic Strategy Discussion Based on Artificial Neural
Year:2009
Research Areas
  • Mathematics,
  • Artificial intelligence,
  • Automatic,
  • Processing and signal analysis,
  • Didactics of mathematics
Information
Abstract
Artificial Neural Networks (ANNs) are a mathematical model of the main known characteristics of biological brian dynamics. ANNs inspired in biological reality have been useful to design machines that show some humanlike behaviours. Based on them, many experimentes have been succesfully developed emulating several biologial neurons characteristics, as learning how to solve a given problem. Sometimes, experimentes on ANNs feedback to biology and allow advances in understanding the biological brian behaviour, allowing the proposal of new therapies for medical problems involving neurons performing. Following this line, the author present results on artificial learning on ANN, and interpret them aiming to reinforce one of this two didactic estrategies to learn how to solve a given difficult task: a) To train with clear, simple, representative examples and feel confidence in brian generalization capabilities to achieve succes in more complicated cases. b) To teach with a set of difficult cases of the problem feeling confidence that the brian will efficiently solve the rest of cases if it is able to solve the difficult ones. Results may contribute in the discussion of how to orientate the design innovative succesful teaching strategies in the education field.
International
Si
Congress
EGU 2009
960
Place
Viena, Austria
Reviewers
Si
ISBN/ISSN
978-3-642-02266-1
Start Date
19/04/2009
End Date
23/04/2009
From page
12
To page
12
Geophysical Research Abstracts
Participants
  • Autor: Diego Andina De la Fuente (UPM)
  • Autor: Rafael Bermudez Valbuena (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Ingeniería Civil: Servicios Urbanos
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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