Skip to search Skip to main content
  • About Us
    Vision Our Story Technology Focus Areas Our Team
  • Access
    Policies Guides Events COVID-19 Advisory
  • Collections
    Books & Journals A-Z listing Special Collections
  • Contact Us
  1. Jio Institute Digital Library
  2. Searchworks

Searchworks

Select search scope, currently: Articles
  • Catalog
    books, media & more in Jio Institute collections
  • Articles
    journal articles & other e-resources

Help
Contact
Covid-19 Advisory
Policies
  • Bookmarks 0
  • Search history
  • Sign in

Cite

Feature Dimensionality Reduction for Recognition of Persian Handwritten Letters using a Combination of Quantum Genetic Algorithm and Neural Network.

MLA

Aranian, Mohammad Javad., et al. “Feature Dimensionality Reduction for Recognition of Persian Handwritten Letters Using a Combination of Quantum Genetic Algorithm and Neural Network.” Majlesi Journal of Electrical Engineering, vol. 11, no. 2, June 2017, pp. 19–25. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=asx&AN=125066817&authtype=sso&custid=ns315887.



APA

Aranian, M. J., Moghaddam, M. S., & Houshmand, M. (2017). Feature Dimensionality Reduction for Recognition of Persian Handwritten Letters using a Combination of Quantum Genetic Algorithm and Neural Network. Majlesi Journal of Electrical Engineering, 11(2), 19–25.



Chicago

Aranian, Mohammad Javad., Moein. Sarvaghad Moghaddam, and Monireh. Houshmand. 2017. “Feature Dimensionality Reduction for Recognition of Persian Handwritten Letters Using a Combination of Quantum Genetic Algorithm and Neural Network.” Majlesi Journal of Electrical Engineering 11 (2): 19–25. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=asx&AN=125066817&authtype=sso&custid=ns315887.

Contact
Covid-19 Advisory
Policies
About Us
Academics
Research
Campus Life
Contact
T&C
Privacy Policy