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对应用人工神经网络解决铸铁化学快速检测问题进行了系统的研究．利用软件技术建立了网络模型，采用了多种改进的训练策略保证网络学习高效而顺利的进行．网络的测试结果证明了本方法的可行性．
The application of artificial neural network to solve the rapid detection of cast iron chemistry conducted a systematic study. The use of software technology to establish a network model, using a variety of improved training strategies to ensure efficient and smooth network learning. The network test results prove the feasibility of this method.