Modeling the Spike Response for Adaptive Fuzzy Spiking Neurons with Application to a Fuzzy XOR

• 作者: A.M.E.Ramírez-Mendoza
• 来源期刊: 工程与科学中的计算机建模(英文)
• 学科: 数学
• 关键词: SPIKE RESPONSE model SPIKES generator circuit FUZZY XOR adaptive FUZZY spiking NEURON learning algorithm FUZZY NEURON self-tuning
• 年，卷（期）: 2018,（6）
• 页码范围: 295-311
• 页数: 17页
• 分类号: O15

摘要

A spike response model(SRM)based on the spikes generator circuit(SGC)of adaptive fuzzy spiking neurons(AFSNs)is developed.The SRM is simulated in MatlabTM environment.The proposed model is applied to a configuration of a fuzzy exclusive or(fuzzy XOR)operator,as an illustrative example.A description of the comparison of AFSNs with other similar methods is given.The novel method of the AFSNs is used to determine the value of the weights or parameters of the fuzzy XOR,first with dynamic weights or self-tuning parameters that adapt continuously,then with fixed weights obtained after training,finally with fixed weights and a dynamic gain or self-tuning gain for a fine adjustment of amplitude.