If the combustion states of the oxyacetylene can be identified by computer, it would make the auto-control of the combustion process better and the productivity improved.
实现对氧乙炔火焰燃烧状态的计算机识别，可以更好地实现其燃烧过程的自动控制，有利于提高生产力。
The combustion process of the oxyacetylene flame is a random one, it obtains good result using the Hidden Markov Model (HMM) which has good imitation ability on the random process.
氧乙炔火焰的燃烧过程是一个随机过程，用对随机过程有很好模拟能力的隐马尔可夫模型(HMM)对其进行建模与识别，可以达到更好的效果。
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