所属单位：信息与控制工程学院

发表刊物：2009 1st International Conference on Information Science and Engineering

关键字：中文关键字：快速支持向量机机，英文关键字：SVM

摘要：The key problem of fire detection is the recognition and classification for fire flame and interference. Support vector machine (SVM) is a potential data classification tool developed from statistical theory. Aiming at the shortcomings of traditional fire detection, An image fire detection algorithm based on support vector machine is presented. The algorithm overcomes the disadvantages of neural network such as over learning, trapping in local minimum easily etc., and overcomes the complexity of doing a lot of experiments and statistical analysis to obtain recognition threshold. The experiment results show that the image fire detection algorithm based on SVM has high accuracy and notable effect on solving the recognition problem of small samples and nonlinear problem.

备注：马宗方

合写作者：程咏梅

第一作者：王慧琴,马宗方

论文类型：期刊论文

卷号：卷：

期号：期：

页面范围：页：

是否译文：否

发表时间：2009-11-01