Specific Objectives

1. IAS analysis using multi-class artificial neural networks (RNA-MC) for value prediction of parameters of interest;
2. ANFIS hybrid analysis for three-dimensional interpretation of interdependencies and trends between indicators (Matlab software – fuzzy);
3. UPS optimization;

Steps:

1. Study of the concept of UPS and the practical way of accomplishment;

Creating a database following the measurements at an IAS;

Predicting the size of UPS parameters using as software: Your Learning Machine ;

1. Using the results obtained with the help of multi-class artificial neural networks in the FIS analysis of UPS (Takagi-Sugeno) using as Matlab software: fuzzy-FIS Sugeno ;

Optimization of a Fundraiser based on the results obtained;