改进后的自组织模糊控制器具有快速、准确和超调量小的特点。
The improved self organizing fuzzy controller has the features of rapidity, accuracy and small regulation.
报道了一种用于高精度双波长稳频CO2激光的自组织模糊控制系统。
A self - organized fuzzy control system used for a dual wavelength frequency stabilized CO2 laser with high precision is presented.
系统通过具有修正因子自寻优功能的自组织模糊控制器维持所选定的焊接电流不变。
With the self organizing fuzzy unit of self optimizing adjustment factor, the system can keep the current stable, which is set initially by the welding operator.
实验结果表明，自组织模糊控制器对不同的工况有较强的适应性，并实现了可变的缓冲行程。
Experiments show that the adaptability of the self-organized fuzzy controller works very well in different work condition, and can realize variable cushioning strake.
简要介绍了具有专家调整策略的神经网络自组织模糊控制器在食用酒精发酵温度控制中的应用。
This paper introduces fuzzy neural network controller self organization with expert modulating tactics for the application of edible alcohol ferment temperature control.
所设计的自组织模糊控制器，其模糊控制规则用解析形式进行描述，并通过修正因子的在线调整而改变，适应了系统动态响应的过程。
As for the fuzzy controller, the rule is depicted with analytic form and changed through self-regulating correction factor on line, so that it ADAPTS the system dynamic process.
针对液压机械手油缸缓冲与定位之间存在的矛盾，提出了一种新型的自组织模糊控制缓冲定位方案。 设计实现了用单片机控制的比例阀—缸缓冲定位系统。
This paper puts forward a new self-organizing fuzzy control buffering-positioning scheme, and achieves proportional valve-cylinder buffering-posioning system controlled by one chip microcomputer.
针对连续空间下的强化学习控制问题，提出了一种基于自组织模糊rbf网络的Q学习方法。
For reinforcement learning control in continuous Spaces, a Q-learning method based on a self-organizing fuzzy RBF (radial basis function) network is proposed.
模糊控制规则以自组织的方式产生。
The fuzzy control rules are produced in a self organizing way.
采用自组织计数传播网络（CPN）作为框架，结合改进的模糊控制算法，实现对发酵过程的模糊神经元控制。
The count propagation network (CPN) was taken as framework, combining an improved fuzzy control algorithm, to realize the fuzzy-neural control of fermentation process.
提出了模型参考自组织模糊逻辑控制器的设计方法，并建立其模糊逻辑控制规则。
We propose the design method of model reference self organizing fuzzy logic controller, and construct its fuzzy logical control rules in this paper.
基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems, and develops a new learning algorithm.
基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems, and develops a new learning algorithm.
应用推荐