期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：2-1
出版社：Seventh Sense Research Group
摘要：Classification of the physical properties of sonar targets is one of the difficult tasks. The increased use of sonar motivated the researcher to produce cost effective and automated process for classification. Neural Network and Online Multiple Kernel Learning (OMKL), that aims to learn a kernel based prediction function from a pool of predefined kernels in an online learning fashion. OMKL is generally more challenging than typical online learning because both the kernel classifiers and their linear combination weights must be learned simultaneously [2]. We experimented the sonar dataset for deterministic and stochastic using online multiple kernel learning. The online Support vector machine and Neural Network techniques are applied to classify sonar data.
关键词：Signal classification; support vector machine classifier; Sonar data classification
