SOFT COMPUTING: INTRODUCCIÓN A LOS MÉTODOS DE SOFT COMPUTING EN INGENIERÍA - ALGORITMOS GENÉTICOS, REDES NEURONALES Y LÓGICA FUZZY

The specific topics of the course are:

  1. Introduction on advanced computational methods for fault diagnostics and prognostics in engineered systems
  2. Introduction to soft computing methods
  3. Artificial neural networks: theory and applications for real time online monitoring and diagnostics of complex components, plants and processes
  4. Genetic algorithms: theory and applications in reliability, availability and maintenance
  5. Fuzzy logic systems: theory and applications for fault diagnostics and prognostics​
11/02/2019 to 15/02/2019
Valencia
Spain
Coordinator: 
Prof. José Ródenas
Contact Person: 
Prof. Enrico Zio
Expected Outcome: 

At the end of the course, the participants will have acquired a level of familiarity with the concepts and techniques of soft computing, necessary to further develop them in the specific applications of interest.​

Intended Participants: 

Master and PhD students.
The course is a Seminar of the UPV Master on Industrial Safety and Environment, offered to CHERNE institutions as far as places are free.​

Prerequisites: 
Matlab, Statistics, Probability theory
Number of Participants: 
Maximal 10 out UPV
Time Schedule: 

20 hours / 1 week
The course combines lectures, and computer exercises​

Erasmus IP: 
No
ECTS/ECVT: 
2 ECTS points
Practical organization: 

Accommodation and meals: not organised​

Cost for students: 

Travel andaccommodation: not covered. 

No fee is foreseen. 
However, a reduced fee (not higher than 50€) to cover organization expenses can be applied if the course is organized through CFP.​

Extra Information: 
  • Deadline for registration: 15 December 2018
  • Communication of admittance: 15 January 2019

The course is foreseen to be given in Spanish. It would be changed to English if foreigner students are present.​

A list of cheap accommodation can be distributed to registered students.​