介绍了人工神经网络的概念、分类、组成,概括了腐蚀实验数据的特点,即数据量大、来源广泛、存在大量随机数据.由于人工神经网络是一个非线性动力学系统,所以可以轻易地实现函数逼近、数据聚类、模式分类、优化计算等功能,因此是处理腐蚀实验数据的一个有力手段.人工神经网络迄今为止,已在区分腐蚀类型、确定主要腐蚀因子、解析谱图数据、腐蚀监测、腐蚀预测等方面有了较成功的应用.分析了人工神经网络技术在腐蚀防护领域的应用前景.
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