模式识别和人工神经网络方法是计算机数据处理的有用技术。特别适合于影响因素多、错综复杂的数据集的处理，以抽提有用信息。钢铁生产中有许多技术数据适合于用这两种方法处理，从中抽提信息以改进生产。本文综述近年来我国一批大、中型钢铁企业应用此技术取得的实效，并讨论其应用前景 Pattern recognition and artificial neural network methods are useful techniques for computer data processing. Particularly suitable for the processing of data sets with many and complex factors to extract useful information. There are many technical data in steel production that are suitable for both approaches, extracting information from it to improve production. This article summarizes the practical results obtained by this batch of large and medium-sized iron and steel enterprises in China in recent years and discusses its application prospect