| 基于整合-激发神经元的自组织映射网络 |
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| 引用本文： | 张彪,刘珑龙,冯峰. 基于整合-激发神经元的自组织映射网络[J]. 中国海洋大学学报(自然科学版), 2011, 0(Z1): 451-456 |
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| 作者姓名： | 张彪 刘珑龙 冯峰 |
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| 作者单位： | 中国海洋大学数学科学学院; |
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| 基金项目： | 山东省自然科学基金项目(Y2008D09)资助 |
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| 摘 要： | 选取与生物神经元的工作过程较为相似的整合-激发(IF)神经元模型作为传递函数,建立了一个基于整合-激发(IF)神经元的新型自组织特征映射(SOM)网络。通过仿真验证了IF神经元网络的自组织功能,实现对传统自组织网的改进。
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| 关 键 词： | 整合-激发神经元 自组织网络 传递函数 脉冲 |
A Self-Organizing Feature Map with Integrate-and-Fire Neurons |
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| ZHANG Biao,LIU Long-Long,FENG Feng. A Self-Organizing Feature Map with Integrate-and-Fire Neurons[J]. Periodical of Ocean University of China, 2011, 0(Z1): 451-456 |
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| Authors: | ZHANG Biao LIU Long-Long FENG Feng |
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| Affiliation: | ZHANG Biao,LIU Long-Long,FENG Feng(School of Mathematical Science,Ocean University of China,Qingdao 266100,China) |
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| Abstract: | A new Self-Organizing Feature Map(SOM) with Integrate-and-Fire(IF) neurons is introduced by using the spiking process of IF neurons similar to the real neurons.The analogue function of IF neuron model is selected as transfer function in the network.The self-organization function is defined and the practicability of the network is verified through experiment simulations,and improvement on the traditional network is realized. |
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| Keywords: | integrate-and-fire neurons self-organizing feature map transfer function spike |
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