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

作者：Peng, Hong^*; Wang, Jun

来源：Neural Computing & Applications, 2017, 28(9): 2675-2685.

DOI：10.1007/s00521-016-2201-3

• Membrane computing
• Tissue P systems
• Artificial bee colony
• IIR system identification

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.

• 出版日期2017-9
• 单位西华大学