中文摘要：

根据中国港口的样本特征,选取了11个主要功能指标,建立了因子分析模型,并进行了适用性检验。根据主成分分析法,提取了3个待定因子,经过因子旋转和归一化处理,采用系统凝聚法对中国沿海24个港口的主要功能进行聚类分析。以MATLAB为技术基础,对烟台港功能类型进行判别。分析结果表明：根据经济功能因子、城市功能因子和物流功能因子的分类,中国沿海24个港口可以聚成7类,第1类为上海港,第2类为深圳港,第3类为广州港,第4类为宁波舟山港,第5类为青岛港、天津港、大连港,第6类为厦门港、丹东港、威海港、汕头港、北海港、防城港、海口港、连云港港、营口港、秦皇岛港、日照港,第7类为唐山港、温州港、台州港、福州港、泉州港、湛江港;运用人工神经网络方法,烟台港被判别为第7类。可见,方法有效。

英文摘要：

According to the sample characteristics of ports in China,11 major function indexes were selected,factor analysis model was established,and suitability test was carried out.On the basis of principal component analysis,three factors were extracted.By using factor rotation and normalization,the major functions of 24 seaports in China were clustered based on system coagulation method.The functional category of Yantai Port was discriminated by using MATLAB.Analysis result shows that based on the classifications of economic function factor,urban function factor and logistics function factor,24 seaports in China can be clustered into 7 categories.The first class port is Shanghai Port,the second class port is Shenzhen Port,the third class port is Guangzhou Port,and the forth class port is Ningbo-Zhoushan Port.The fifth class ports are Qingdao Port,Tianjin Port and Dalian Port.The sixth class ports are Xiamen Port,Dandong Port,Weihai Port,Shantou Port,Beihai Port,Fangcheng Port,Haikou Port,Lianyungang Port,Yingkou Port,Qinhuangdao Port and Rizhao Port.The seventh class ports are Tangshan Port,Wenzhou Port,Taizhou Port,Fuzhou Port,Quanzhou Port and Zhanjiang Port.Then Yantai Port is identified into the seventh class by using artificial neural network method.So,the method is effective.9 tabs,3 figs,15 refs.