文献类型：期刊文献

中文题名：模式识别和支持向量机在复合材料优化设计中的研究和应用

英文题名：Study and application of pattern recognition and support vector machines in composite optimized design

作者：杨榛[1];顾幸生[2];梁晓怿[1];凌立成[1]

机构：[1]华东理工大学化工学院;[2]华东理工大学信息科学与工程学院,上海200237

年份：2008

卷号：25

期号：1

起止页码：31

中文期刊名：计算机与应用化学

外文期刊名：Computers and Applied Chemistry

收录：CSTPCD;;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：国家自然科学基金(50672025)

语种：中文

中文关键词：复合材料优化设计;模式识别;支持向量机;智能融合

外文关键词：composite optimized design, pattern recognition, support vector machine, intelligent integration

摘要：论述了复合材料设计及优化的基本研究方法,介绍模式识别和支持向量机人工智能法,举例详述复合材料设计及优化中的两种智能法,总结两种智能融合法在复合材料优化设计中的分类、建模、预测等基本研究方法和应用。举例说明模式识别和支持向量机在复合材料优化设计中重要的研究价值。最后对该领域的发展提出若干建议。
Basic research method of composite design and optimization is discussed. Two typical artificial intelligence methods （Pattern Recognition and Support Vector Machine） are introduced. Two kinds of intelligence theory and examples of application in composite design and optimization are all discussed in detail. Next, basic research methods and application property of classifying, modeling, predicting about the two kinds of integrated methods are summarized. We conclude that artificial intelligence method plays an important role in research of composite optimized design. Some recommendations to development in the field of composite design are made.