Skip to content

Latest commit

 

History

History
21 lines (16 loc) · 747 Bytes

README.md

File metadata and controls

21 lines (16 loc) · 747 Bytes

/* AUTHORS: MOHAK R SPURTHI RAHUL V SHARAN This is a major project for our college purpose . This code is free of any proprietary restriction anyone can make any modification and use it .. lol :P

*/ A HYBRID APPROACH TO ANOMALY DETECTION USING FUZZY LOGIC TUNED WITH EVOLUTIONARY ALGORITHMS

System description:

Steps in the project:

  1. Preprocessing : normalisation, quantifying data , feature selection
  2. Fuzzy model : Use Evolutionary algorithm (planned to use ant colony algorithm) to get fuzzy rule set .
  3. Evolve : Model to evolve Fuzzy rule set with time :P
  4. and lot more :P .. Actually not at decided ..