计算机应用与软件Issue(3)：236-238,257,4.DOI:10.3969/j.issn.1000-386x.2015.03.056
基于 Simulink 平台的脉冲神经网络前向传播模型的建立与仿真
BUILDING AND SIMULATING SIMULINK PLATFORM-BASED FORWARD PROPAGATION MODEL OF SPIKING NEURAL NETWORK
摘要
Abstract
Spiking neural network (SNN)is praised as the third generation of the neural networks,and has attracted concerns from many scholars in recent years.Its advantages have been brought into play in a couple of fields including pattern recognition and computer vision, etc.The hardware realisation of spiking neural network is an important approach for implementing its powerful computation ability,while modelling and simulating the hardware system with the help of related software is a primary issue in complex hardware system design.In order to get reasonable hardware design scheme,on Simulink platform we first build the synapse model of SNN,and obtain an ideal response curve of synapse.Based on this,we build an integrated forward propagation model of spiking neural network.Simulation results show that the traditional XOR problem can be resolved through training.关键词
脉冲神经网络/Simulink/突触/XOR/权值Key words
Spiking neutral network/Simulink/Synapse/XOR/Weight分类
信息技术与安全科学引用本文复制引用
李宏伟,吴庆祥..基于 Simulink 平台的脉冲神经网络前向传播模型的建立与仿真[J].计算机应用与软件,2015,(3):236-238,257,4.基金项目
国家自然科学基金项目（61179011）；福建省产学科技重大项目 （）
