Diagnosis of thyroid disorders using Backpropagation method
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
The diagnosis of thyroid disorders using back propagation algorithm by training feed-forward neural network has been discussed in this paper. The body’s metabolic rate is controlled by thyroid hormones secreted by Thyroid Gland. Any malfunction in thyroid hormone will leads to thyroid disorders. There occurs under-activity and over-activity of thyroid hormone which causes hypothyroidism and hyperthyroidism. This paper explains the diagnosis of thyroid disorders using Back Propagation algorithm. In this work, back propagation algorithm is implemented in its gradient descent form, the working of back propagation algorithm to train ANN is verified with intensive MATLAB simulations. Here the model is developed by using the approach of artificial neural network i.e feed forward network with back propagation algorithm. In this way, with BackPropagation algorithm we can classify the diagnosis of Thyroid Disorders.
Authors and Affiliations
M. Sai Srujana, B. Priyanka, A. Sai Jagathi, Sathyaraj. R
Keywords
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- EP ID EP22174
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