模式识别技术在社会生活和科学研究的许多方面有着巨大的现实意义,已经在许多领域得到了广泛应用。文中就其理论基础与主要方法作了详细的介绍与阐述。分别介绍了统计模式识别、句法结构模式识别、模糊模式识别、人工神经网络模式识别、模板匹配模式识别、支持向量机的模式识别。%Pattern recognition technology has great practical significance in many sides of social life and scientific research, and it has been widely applied in many fields. The theoretical basis and principal methods of it have been thoroughly introduced in this paper.Describes the statistical pattern recognition,sentence structure pattern recognition,fuzzy pattern recognition,artificial neural network pattern recognition, template matching pattern recognition, Support Vector Machines pattern recognition
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