article · Mathematical Problems in Engineering · 2014
An Immune Clonal Selection Algorithm for Synthetic Signature Generation
Cited by 10Open access
Abstract
The collection of signature data for system development and evaluation generally requires significant time and effort. To overcome this problem, this paper proposes a detector generation based clonal selection algorithm for synthetic signature set generation. The goal of synthetic signature generation is to improve the performance of signature verification by providing more training samples. Our method uses the clonal selection algorithm to maintain the diversity of the overall set and avoid sparse feature distribution. The algorithm firstly generates detectors with a segmented r ‐continuous bits matching rule and P ‐receptor editing strategy to provide a more wider search space. Then the clonal selection algorithm is used to expand and optimize the overall signature set. We demonstrate the effectiveness of our clonal selection algorithm, and the experiments show that adding the synthetic training samples can improve the performance of signature verification.
Cite this paper
Song, M., & Sun, Z. (2014). An Immune Clonal Selection Algorithm for Synthetic Signature Generation. Mathematical Problems in Engineering, 2014(1). https://doi.org/10.1155/2014/324645
Song, Mofei, and Zhengxing Sun. “An Immune Clonal Selection Algorithm for Synthetic Signature Generation.” Mathematical Problems in Engineering, vol. 2014, no. 1, 2014, https://doi.org/10.1155/2014/324645.
Song, Mofei, and Zhengxing Sun. 2014. “An Immune Clonal Selection Algorithm for Synthetic Signature Generation.” Mathematical Problems in Engineering 2014 (1). https://doi.org/10.1155/2014/324645.
Song, M. and Sun, Z. (2014) ‘An Immune Clonal Selection Algorithm for Synthetic Signature Generation’, Mathematical Problems in Engineering, 2014(1). Available at: https://doi.org/10.1155/2014/324645.
@article{song2014immune,
title = {{An Immune Clonal Selection Algorithm for Synthetic Signature Generation}},
author = {Song, Mofei and Sun, Zhengxing},
journal = {Mathematical Problems in Engineering},
volume = {2014},
number = {1},
year = {2014},
doi = {10.1155/2014/324645}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.