Quantitative analysis of structural parameters importance of helical temperature microfiber sensor by artificial neural network

HIGHLIGHTS

  • who: . and collaborators from the Fujian Key Laboratory of Light Propagation and Transformation, College of Information Science and Engineering, Huaqiao University, Xiamen, China have published the article: Quantitative analysis of structural parameters importance of helical temperature microfiber sensor by artificial neural network, in the Journal: (JOURNAL)

SUMMARY

    Optical sensors based on micro/nanofibers (MNFs), which have flexible and various sensing units, could provide high sensitivity and have become one of the most important applications of MNFs. For the MNF optical sensors with complex structures, the geometric parameters of the sensing unit are VOLUME . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?