摘要
针对传统电机调整设计专家系统的缺陷,提出一种新型的,基于神经网络推理机制的电机调整设计专家系统模型．该模型将神经网络技术与专家系统技术、优化技术紧密结合,采用并行推理策略,能够有效提高推理效率,解决调整设计过程中调整力度难以确定的问题．
Aiming at the limitation of traditional expert system of the motor adaptation and design, a novel expert system based on neural network inference has been presented. The hybrid system, by integrating the expert system technology, neural network technology, and motor optimization design technology together, has the parallel reasoning ability and self learning ability, which can overcome the difficulties of deciding adjustment extent in adaptation design process and increase the inference efficiency.
出处
《华侨大学学报（自然科学版）》
CAS
北大核心
2006年第2期201-204,共4页
Journal of Huaqiao University(Natural Science)
基金
福建省青年科技创新基金资助项目(2004J032)华侨大学高层次人才科研启动基金资助项目(2003B01)
关键词
电机设计
专家系统
推理机
神经网络
motor design, expert system, inference mechanism, neural network
