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模糊聚类算法在船舶火灾探测中的应用
Fuzzy gathering algorithm’s application in ship fire detection
【摘要】 在火灾探测时 ,由于火灾对象的非确定性 ,以及现场环境的复杂性 ,存在许多困难。火灾与非火灾数据并不存在明确的差异 ,人们也不能把这种差异用函数来表示。本文提出了采用模糊 C均值聚类算法对船舶火灾数据进行分类。计算结果表明该算法能有效地区分各种火灾现象
【Abstract】 Due to the uncertainty of fire objects and complication of field environment, fire detection has many difficulties. There aren’t much obvious differences between fire date and non fire date, so we can’t reflect these differences by function. Fuzzy C averaging value gathering algorithm is used to classified fire data. The calculation results show that it can effectively differentiate various fire phenomenon.
【关键词】 火灾探测;
模糊C均值聚类;
数据分析;
【Key words】 fire detection; fuzzy C averaging value gathering; data analysis;
【Key words】 fire detection; fuzzy C averaging value gathering; data analysis;
【基金】 上海市教委科技发展基金资助项目( 0 2 1 K0 1 )
- 【文献出处】 船舶 ,Ship & Boat , 编辑部邮箱 ,2004年01期
- 【分类号】U664.88
- 【被引频次】8
- 【下载频次】90