An Improved Immune Clone Selection Algorithm for Palm Bio-impedance Spectroscopy

LinTao LV (Department of Electronical and Information Engineering, XIJING UNIVERSITY, Xi’an Shanxi)
QinQin Yuan (Department of Electronical and Information Engineering, XIJING UNIVERSITY, Xi’an Shanxi)
YuXiang Yang (School of Mechanical and Precision Instrument Engineering,Xi’an University of Technology,china)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 16, No 2: November 2015

A kind of effective feature model of palm BIS data is presented according to the features of Palm bio-impedance spectroscopy (BIS) data. Based on immune clone algorithm and least squares method, an improved palm BIS feature selection algorithm is established,which can be applied to obtain the optimal feature subset that can be completely represented the palm BIS data, Finally, the algorithm is compared with other algorithms. The experimental results show that the accuracy of the feature subset obtained by the algorithm has reached 93.2 in SVM classification algorithm test.Therefore, the algorithm in this article is valid and reliable , which is of high theoretical and practical value.