摘要
基于ＢＰ神经网络的训练规则，针对具有大惯性，大滞后和各种不确定因素影响的非线性系统，设计了一种能消除非线性随机干扰引起的混纯现象的神经网络，并已和执行器、喷油嘴等器件组成系统联机调试，效果理想。
Based on training rule of BP neural network,a new neural network for eliminating chaos (ECNN) phenomenon by nonlinear random disturb is suggested, which is used in nonlinear system with bigger inertia and hysteresis and variors undefined factors.The system from computer,implement and spray oil mouth was regulated successfully.
出处
《西安矿业学院学报》
CAS
1997年第1期55-59,62,共6页
Journal of Xi'an University of Science & Technology
关键词
神经网络
随机干扰
非线性
消除法
training rule antijamming characteristic of network ECNN algorithm
