Comparing the Performance of SVM & RBF Models for Diagnosis of Bipolar Disorder

Mozhgan Mohammad Ghasemi; Mehdi Khalili

With regard to the development of human societies and industrial affairs, actual psychological problems caused by busy people, which is hidden within each person there is potential, it can be causes irreparable damages to increase anomalies society. However, the development of computer science and application of neural networks in the diagnosis of various diseases, trying to ease the diagnosis of mood disorders - including bipolar disorders - a collection is often perceived as. In this paper implemented neural network by using the RBF and SVM model. For both model use the different percentage training, and compared the error of models for selecting suitable model in diagnosis bipolar disorder.

Select Volume / Issues:

• Volume 6 Issue 1, Jan. 2015

Year:

2015

Type of Publication:

Article

Keywords:

ANN; SVM; RBF; Bipolar Disorder

Journal:

IJECCE

Volume:

6

Number:

1

Pages:

6-8

Month:

Jan.-Feb

ISSN:

2249-–0