Recognition of Mathematical Equations

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Details

The importance of soft computing is well known in various engineering fields and technologies related to machine learning and artificial intelligence are among the fastest growing in industrial applications. The neural network applications have been explained with lucid language and provides the logical method in the recognition of mathematical equations. It has been developed specifically to meet the need of students of electronics as well as computer engineering to improve the learning outcomes of the students.

Autorentext

Dr. Sagar Shinde working as a Associate Professor in E & TC Engineering of JSPM Narhe Technical Campus, Pune. Dr. Lalitkumar K. Wadhwa working as a Principal in NMIET, Pune having more than 22 years of experience in teaching. Mr. Vishal Jagtap is working as a Assistant Professor in R. C. Patel Polytechnic, Shirpur.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786203027754
    • Genre Elektrotechnik
    • Sprache Englisch
    • Anzahl Seiten 244
    • Größe H220mm x B150mm x T15mm
    • Jahr 2020
    • EAN 9786203027754
    • Format Kartonierter Einband
    • ISBN 6203027758
    • Veröffentlichung 17.11.2020
    • Titel Recognition of Mathematical Equations
    • Autor Sagar Shinde
    • Untertitel Recognition of Handwritten Mathematical Equations ranging from simple through complex
    • Gewicht 381g
    • Herausgeber LAP LAMBERT Academic Publishing

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