摘要
针对多学科的优化计算复杂性和信息交换复杂性 ,在分析前人多学科优化方法基础上 ,提出将人工神经网络、专家系统、模糊评判等人工智能技术引入多学科优化领域 ,充分利用神经网络专家系统所具有的高度容错性、鲁棒性、实时性、自适应性和系统可以自组织、自学习以及联想记忆等功能 。
Discussed a method to the field of multidisciplinary optimization which has the complexity of computation and information exchange,based on artificial intelligence including artificial neural network,expert system and fuzzy system who has the function of self-organization,self-study and recollection,with their feature of high compatibility,robust and real-time.
出处
《现代制造工程》
CSCD
北大核心
2004年第5期11-13,共3页
Modern Manufacturing Engineering
基金
广西自然科学基金资助项目 (桂科自 0 1 350 56)
关键词
多学科优化
人工神经网络
专家系统
模糊逻辑
自学习
Multidisciplinary optimization Artificial neural network Expert system Fuzzy logic Self-study