A hybrid approach based on tissue P systems and artificial bee colony for IIR system identification

被引：0
作者：
Hong Peng
Jun Wang
机构：
[1] Xihua University,School of Computer and Software Engineering
[2] Xihua University,School of Electrical and Electronic Information
来源：
Neural Computing and Applications | 2017年 / 28卷
关键词：
Membrane computing; Tissue P systems; Artificial bee colony; IIR system identification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a hybrid approach for infinite impulse response (IIR) system identification, called ABC-PS, that combines artificial bee colony (ABC) and tissue P systems. A tissue P system with fully connected structure of cells has been considered as its computing framework. A modification of ABC was developed as evolution rules for objects according to fully connected structure and communication mechanism. With the control of the object’s evolution-communication mechanism, the tissue P system designed can effectively and efficiently identify the optimal filter coefficients for an IIR system. The performance of ABC-PS was compared with artificial bee colony and several other evolutionary algorithms. Simulation results show that ABC-PS is superior or comparable to the other algorithms for the employed examples and can be efficiently used for IIR system identification.
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页码：2675 / 2685
页数：10
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