人工神经网络在安徽省城市化水平分类中的应用

主要介绍了科荷伦人工神经网络的原理、结构以及运算的主要过程；根据科荷伦网络的原理，通过MATLAB，运用科荷伦网络对城市化水平进行分类，结果较为理想，可以提高分类判断的客观性；在进行城市化水平分类之前，先建了城市化水平指标体系；分类的结果表明，安徽省城市化区域特色明显，在今后的发展中，各地政府要采取不同的措施提高城市化水平。

Application of the artificial neural network in urbanization classification in Anhui Province

Introduce the principle and structure and the run process of the Kohonen net-work. In accordance with the prmctple, tins paper classify urban development level by using MATLAB .This method can increase the objectivity of the classification judgment. Kohonen net- work is a good method in classifying urbanization Author build a indexes system of the urbanization before classify the cities of the Anhui province .The result shows the development level of the cities is different. In accordance with the difference of the cities, authorities should take different measures to development the urbanization level.