您要查找的是不是：
- dynamic neural fuzzy model 动态神经模糊模型
- Then the paper proposes a brand new neural network, termed dyadic network, and a brand new fuzzy model, termed dyadic fuzzy system. 然后本文提出了一种称为二进网络的全新神经网络,和一种称为二进模糊系统的全新模糊系统。
- Adaptive neural fuzzy inference system(ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine. 作为一种局部逼近方法,自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
- The proposed WRNFN model combines the traditional Takagi-Sugeno-Kang (TSK) fuzzy model and the wavelet neural networks (WNN). 递迴式小波类神经模糊网路结合了传统的TSK模糊模组以及小波类神经网路。
- The result indicates that the fuzzy model reference learning control has quicker dynamic response and the same steady accuracy as PI control, but its overshoot is slightly larger. 结果表明，模糊模型参考学习控制具有响应快的优点，同时具有与PI控制同样高的稳态精度，但超调量比PI控制稍大。
- A dynamic neural networ k fuel measurement model is constructed firstly, related problems on how to use this model in reality is discussed followed, a simulated result is provided at t he end. 首先建立了飞机油箱余油动态测量的神经网络模型，然后讨论了该模型在使用中的有关问题解决方法，最后给出了一例仿真结果。
- Dynamic neural network is used to approximate the dynamics nonlinear function and linearize the nonlinear dynamics model for rigid robots. 在刚性机器人控制方面，采用动态神经网络辨识动力学非线性函数，对机械臂动力学模型进行非线性补偿，使其线性化。
- C. T. Lin and C. S. G. Lee, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, Preutice-Hall, 1996. 林法正，魏荣宗与段柔勇，超音波马达之驱动与智慧型控制，沧海书局。
- A kind of dynamic neural net is introduced, and it is used for artificial temperature control of cement rotary kiln. 介绍了一种动态神经网络,并用此神经网络对水泥回转窑温度实行了仿真控制研究。
- Using the concept of CDF(compensation and division for fuzzy model)and the approach of linear matrix inequality, a new kind of fuzzy controller and the stability analysis of closed-loop T-S fuzzy system is got based on the T-S fuzzy dynamic model. 基于T-S模糊动态模型,采用模糊模型相除补偿(CDF)技术和线性矩阵不等式(LMI)方法,设计了一种新型模糊控制器,并进行了稳定性分析。
- It is trained by using the recursively updated sample date sets and thus GRNN became dynamic neural network. 为此改造泛回归神经网络(GRNN)，运用递推更新的样本数据集训练GRNN，构成动态泛回归神经网络。
- The weights and parameters of the improved dynamic neural network are tuned by improved genetic algorithm(IGA). 对于给定的全连接的动态神经网络,在通过学习以后可以成为部分连接的神经网络系统,从而降低了计算的成本。
- For the model-based fault diagnosis, fuzzy modeling approaches using neural network and genetic algorithm were presented, which simplifies the complexity of modeling. 针对基于模型的故障诊断，提出了运用人工神经网和遗传算法的模糊建模方法，简化了建模复杂性。
- It trains the SOM in a supervised way firstly, and then decomposes the mixed pixels based on fuzzy model. 首先对自组织映射神经网络进行有监督的训练，然后基于模糊模型对混合像元进行分解。
- In order to reduce the expense of ANN training, we have developed a dynamic neural network (DNN) modeling method for online time series prediction. 如果每增加一个样本对神经网络重新训练，需要大量的计算时间。
- After a study of the fuzzy model creation method the authors constructed a fuzzy model for a turbogenerator seal oil cooling system with satisfactory results being attained. 文中对模糊建模方法进行了研究，并对汽轮发电机密封油冷却系统进行了模糊建模，取得了满意的结果。
- Besides, an adaptive neural fuzzy control method is proposed to control the system, simulation results show the control method can better improve the steering portability and sensitiveness. 本文对电动助力转向系统设计了自适应模糊神经网络控制器，仿真结果表明该控制器能较好提高汽车转向时的轻便性和灵敏性。
- After the system operates, the fuzzy model and the parameters of the PPID are tuned off line again by using the input/output data from the plant. 首先基于初始模糊模型对PPID离线进行整定 ;然后在系统运行后利用对象的输入输出数据对模糊模型和PPID的参数再次进行离线整定 .
- In this thesis, a class of large-scale systems with time-delay interconnections is represented by an equivalent Takagi-Sugeno type fuzzy model. 本论文主要是对于含有状态时间延迟和输入时间延迟的资料采样系统，提出两种数位重新设计之控制器。
- This paper presents a method to recognize digit and small set and Multi-font Chinese character based on similarity measure of Fuzzy Model. 文章提出了一种基于模糊相似测量的小类别数多字体汉字及数字识别方法。
