Skip to content

Akelyaporten/Boolean-Function-Generator

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Boolean-Function-Generator

Boolean Function Dataset Generator is a Python Code to create Huge data of Boolean Functions. Main target of the project is creating a Synthetic Dataset to test new Artificial Intelligence based Boolean minimization methods and comparing them with other classical methods. Created boolean Functions are completely random and not representative of any logic circuit. Example dataset also includes boolean functions with don't cares. For the convention "m" Represents minterms while "d" represents don't cares.

About

Boolean Function Dataset Generator

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages