文章基本信息

标题：Single Spiking Neuron Multi-Objective Optimization for Pattern Classification
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作者：Carlos Juarez-Santini ; Manuel Ornelas-Rodriguez ; Jorge Alberto Soria-Alcaraz 等
期刊名称：Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
印刷版ISSN：1897-8649
电子版ISSN：2080-2145
出版年度：2020
卷号：14
期号：1
页码：73-80
DOI：10.14313/JAMRIS/1-2020/9
出版社：Industrial Research Inst. for Automation and Measurements, Warsaw
摘要：As neuron models become more plausible, fewer computing units may be required to solve some problems; such as static pattern classification. Herein, this problem is solved by using a single spiking neuron with rate coding scheme. The spiking neuron is trained by a variant of Multi-objective Particle Swarm Optimization algorithm known as OMOPSO. There were carried out two kind of experiments: the first one deals with neuron trained by maximizing the inter distance of mean firing rates among classes and minimizing standard deviation of the intra firing rate of each class; the second one deals with dimension reduction of input vector besides of neuron training. The results of two kind of experiments are statistically analyzed and compared again a Mono-objective optimization version which uses a fitness function as a weighted sum of objectives.
关键词：Multi-objective Optimization;Spiking Neuron;Pattern Classification