Development of deep belief network for tool faults recognition

HIGHLIGHTS

• who: Archana P. Kale and collaborators from the Department of Computer Engineering, Modern Education Society`s College of Engineering (MESCOE), Pune, India Department of Mechanical Engineering, COEP Technological University, Pune, India have published the article: Development of Deep Belief Network for Tool Faults Recognition, in the Journal: Sensors 2023, 1872 of /2023/
• what: The model was designed trained tested and validated through datasets collected considering diverse input parameters. The primary motivation behind the use of deep learning is to gain a hierarchical representation of the data for a particular problem, such as classification, regression, clustering . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.