An Artificial Neural Network based on Izhikevich Neuron Model

被引：0
|
作者：
Taherkhani, Katayoon [1 ]
Shoorehdeli, Mahdi Aliyari [1 ]
机构：
[1] KN Toosi Univ Technol, Fac Elect & Comp Engn, Tehran, Iran
来源：
2017 25TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2017年
关键词：
SPIKING NEURONS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In the recent years, artificial neural network have been used to improvement of system identification. The performance of neural network directly depends on the hidden layer, which include weights and activation functions of the network. In addition Genetic Algorithms are used to learn of neural network as a type of evolutionary computing algorithms. In this paper, the structure of hidden layers and weights are modified by using biological neuron model of Izhikevich. These two methods, Genetic Algorithms and biological model of neuron, merge together for designing a novel structure.
引用
收藏
页码：807 / 811
页数：5
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