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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 8.4

International Journal of Applied Research

Vol. 1, Issue 10, Part A (2015)

Comparative Study of GD, LM and SCG Method of Neural Network for Thyroid Disease Diagnosis

Author(s)
Prerana, Parveen Sehgal, Khushboo Taneja
Abstract
This paper presents the comparative study of three main methods of neural network. Each of these methods are efficient in their working but on comparison there is lot of difference in their working in the field of early prediction of thyroid disease. The main purpose of this work is to propose the best technique for diagnosis of disease and to reduce the diagnosis time and improve the efficiency and accuracy.
Pages: 34-39  |  601 Views  10 Downloads
How to cite this article:
Prerana, Parveen Sehgal, Khushboo Taneja. Comparative Study of GD, LM and SCG Method of Neural Network for Thyroid Disease Diagnosis. Int J Appl Res 2015;1(10):34-39.
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International Journal of Applied Research