This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
To determine the optical parameters of turbid media with an unpolarized backscattering light an oblique incidence geometry with the compound bp neural network has been designed.
为从无偏振混浊介质背向散射光确定散射光学参数，设计了倾斜入射的模拟光路以及用复合反向传播神经网络求解的方案。
This study shows that the compound fuzzy neural network not only possesses evident dominant in modeling precision, but also possesses a good prospect in the application of production process.
研究表明，论文提出的复合型模糊神经网络不仅在建模精度上有着明显的优势，而且在实际生产过程的应用上具有良好前景。
This paper researched on a class of compound fuzzy neural network and made a variety of improvements.
对于一类复合型模糊神经网络，论文首先进行了多方面的改进研究尝试。
To determine the optical parameters of turbid media with an unpolarized backscattering light, an oblique incidence geometry with the compound BP neural network has been designed.
为从无偏振混浊介质背向散射光确定散射光学参数，设计了倾斜入射的模拟光路以及用复合反向传播神经网络求解的方案。
Furthermore, it indicates that compound method is the most effective way to improve the artificial neural network property.
进而指出，混合优化是改善人工神经网络性能的有效方法之一。
This paper covers an analog compound orthogonal neural network controller and its application to two closed-loop DC speed governing system.
在数字复合正交神经网络的基础上提出一种模拟复合正交神经网络，并用于直流双闭环调速系统中。
The analog compound orthogonal neural network was obtained by means of a continuous algorithm treatment for a digital compound orthogonal neural network, and was used as the feedforward controller.
通过数字复合正交神经网络的连续化算法处理获得了一种模拟复合正交神经网络，并作为前馈控制器。
An analog compound orthogonal neural network was presented on the basis of the digital compound orthogonal neural network and was applied in the control of the servo system with nonlinearity.
在数字复合正交神经网络的基础上提出一种模拟复合正交神经网络，并用于非线性伺服系统控制中。
An analog compound orthogonal neural network was presented on the basis of the digital compound orthogonal neural network and was applied in the position control of a manipulator.
在数字复合正交神经网络的基础上提出一种模拟复合正交神经网络，并应用于机械臂的控制。
Experiment results show that, kernel machine method is better than artificial neural network, and compound kernel functions is better than common single kernel functions.
综合比较了核机器方法与人工神经网络法的预测效果，同时展示了常规核与复合核的性能对比。
A compound approach with a set of improved robust observers on fault diagnosis on nonlinear system, with a dynamic neural network deciding parameters, is illustrated with an instance of 3-tank model.
该方法将一组改进的鲁棒观测器与一个为其确定参数的动态神经网络相结合，对非线性系统进行故障诊断。
A compound approach with a set of improved robust observers on fault diagnosis on nonlinear system, with a dynamic neural network deciding parameters, is illustrated with an instance of 3-tank model.
该方法将一组改进的鲁棒观测器与一个为其确定参数的动态神经网络相结合，对非线性系统进行故障诊断。
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