江淮地区降水量预测的模糊模式识别
首发时间:2009-09-25
摘要:模式识别(Pattern Recognition)是人类的一项基本智能,在日常生活中,人们经常在进行“模式识别”。在社会生活和生产实践中,人们很容易用语言来描述事物的特点、模式的特征,根据人类语言的描述来对模式建立适当的数学模型,从而解决实际生活生产中的问题,意义重大。语言模式的模糊模式识别,模式可以借助于所研究客体的语言表达来得到。模糊语言,作为一种弹性语言,是指外延不确定、内涵无定指的特性语言。与精确语言相比,模糊语言具有更大的概括性和灵活性。这种概括性与灵活性集中反映在语言外延上。本文以江淮地区降水量为例,考虑判别因素,构造出每个因素的隶属函数,根据降水量预报的语言描述,建立相应的模糊语言判别模型,得出结论。
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The Fuzzy Pattern Recognition Of Precipitation forecast Jianghuai
Abstract:Pattern recognition is a fundamental human intelligence, in their daily lives, people often conduct the \"pattern recognition.\" In social life and production practice, it is easy to use language to describe the characteristics of things, pattern characteristics, according to the description of human language on the model of the establishment of appropriate mathematical models so as to solve the production problems in real life, of great significance. Language models fuzzy pattern recognition, pattern can be studied by means of language to get the object. Vague language, as a flexible language that refers to the extension of uncertainty, with no fixed meaning refers to the characteristics of language. Compared with the precise language, Vague language has greater generality and flexibility. Generality and flexibility of this concentrated reflection on the language extension. In this paper, Jianghuai area precipitation, for example, consider the discrimination factor, constructed membership function of each factor, according to the language to describe the precipitation forecasts to establish the corresponding fuzzy language discriminant model, reach a conclusion.
Keywords: Pattern recognition Membership function Vague language
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No.3548137640312538****
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