Fuzzy neural network is capable of dealing with non linear problems. It can process knowledge of structural uncertainty directly, has been applied to the field of materials science as a new technology. The application of fuzzy neural network in some way of chemical composition design and optimization, the relations between chemical composition and mechanical properties, quantitative micro structural of titanium alloys and other domains were summarized. It must make clear that fuzzy neural network not only presents modeling of composition-process-microstruc-tural-property correlations but also can be applied to intelligent control and property prediction for titanium alloys.%模糊神经网络具有较强的非线性问题处理能力,可直接处理“不确定性”结构化知识,已成为材料科学研究领域中重要的使用技术.综述了模糊神经网络在钛合金材料化学成分设计与优化、材料成分与性能关系、微观组织定量研究等领域的应用情况,指出将该方法应用于钛合金材料研究领域,不仅可精确地描述材料成分-工艺-组织-性能之间高度复杂非线性关系,而且能够应用到材料加工的智能控制以及性能预测等领域.
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