模糊神经网络在钛合金研究领域中的应用

材料导报, 2011, 25(15): 123-126.

模糊神经网络在钛合金研究领域中的应用

韩远飞 ^1, , 曾卫东 ^2, , 赵永庆 ^3, , 周义刚 ^4,

1.西北工业大学材料学院凝固技术国家重点实验室,西安710072

2.西北工业大学材料学院凝固技术国家重点实验室,西安710072

3.西北有色金属研究院,西安710016

4.西北工业大学材料学院凝固技术国家重点实验室,西安710072

基金项目: 国家自然科学基金(51075333) 西北工业大学博士论文创新基金(CX201105) 973计划项目(2007CB613807)

关键词：钛合金 , 模糊神经网络 , 性能预测 , 材料科学

Application of Fuzzy Neural Network Model in 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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材料期刊网

模糊神经网络在钛合金研究领域中的应用

Application of Fuzzy Neural Network Model in Titanium Alloys

参考文献