杨洁

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别:女

毕业院校:大连理工大学

学位:博士

所在单位:数学科学学院

学科:计算数学

办公地点:大连理工大学数学科学学院505

联系方式:0411-84708351-8205

电子邮箱:yangjiee@dlut.edu.cn

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A New Supervised Learning Algorithm Based on Genetic Inheritance for Spiking Neural Networks

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论文类型:会议论文

发表时间:2018-01-01

收录刊物:CPCI-S

卷号:1069

期号:1

摘要:Spiking neural networks (SNNs) can perform complex spatio-temporal information computations in precise temporal coding. These networks differ from previous models in that spiking neurons convey information by time rather than rate of spikes. Most existing training algorithms are based on gradient descent with inherent defects, such as local optimum and over-fitting. In this paper, we investigate the performance of the Genetic Algorithm Involving Mechanism of Simulated Annealing, as a supervised training algorithm for SNNs. The key idea is to adopt global search, which effectively avoid local optima and over-fitting. According to the experiment results, this approach has higher accuracy than other learning algorithms on well-known classification problems.