To improve sonar performance in shallow water, a novel method for target localization based on a statistical learning theory's recognizer was proposed. 摘要为了提高声纳在浅水域的性能,提出了一种基于统计学习理论的目标识别器的目标定位方法。
Through SVM can perfectly solve the problem of small sample learning, it fails to make use of the unlabelled samples of data. 针对这种情况,本文首先研究了支持向量机的基本原理和算法,指出支持向量机是一种基于统计学习理论的通用学习算法,能够较好地解决小样本学习问题。