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中文摘要: 本文提出了统计图象识别的一种数值方法,它不需要假定预报对象服从某种分布,而是根据其实际分布利用微机直接建立预报量和预报因子之间的统计关系,识别图象类别。与常用的解析判别方法相比,它提高了预报效果。在这种方法中,由于能较为清楚地看到预报因子对预报量的影响,透明性好,因此对因果关系较为明显的短时预报更适宜。
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Abstract:A numerical method of statistical pattern recognition is proposed, it needn't assume that the predictand meets the requirement of certain distribution. A statistical relationship between the predictand and the predictor was obtained directly by computer from its practical distribution, and then the type of pattern was recognized. Compared with the usual analytic discriminatory method, the Predictive effectiveness is improved.In this method, the influence of transparence is better. Therefore, it is better to be used in the very short-range forecast, in which the relationship between cause and effect is more obvious.
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引用文本：
徐宏,李洪勣,1988.统计图象识别的一种数值方法[J].气象,14(8):9-14.
,1988.A numerical method of statistical pattern recognition[J].Meteor Mon,14(8):9-14.
徐宏,李洪勣,1988.统计图象识别的一种数值方法[J].气象,14(8):9-14.
,1988.A numerical method of statistical pattern recognition[J].Meteor Mon,14(8):9-14.