A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
This way combines fuzzy control with neural networks to build the model of control system.
这种方法把模糊控制和神经网络相结合进行控制系统的建模。
This paper puts forward a parameter self-tuning fuzzy controller based on two neural networks to actualize intelligent control of the activated sludge process.
本文提出一种基于两个神经元网络的模糊参数自校正控制器，实现活性污泥过程的智能控制。
This paper USES the principle of decomposition-coordination for large-scale systems, fuzzy theory and neural networks technique to solve the real time arterial coordinated control problem.
利用大系统的分解-协调思想、模糊理论和神经网络技术来进行城市交通干线的实时协调控制。
By using the control strategies of fuzzy logic and neural networks, a new control algorithm was designed to solve the control problems.
采用模糊逻辑和神经元网络控制策略，设计了新的控制算法来解决阀控马达控制问题。
This thesis focuses on the intelligent control strategies based on fuzzy logic and neural networks and its application in motion control.
本文的研究内容是基于模糊逻辑和人工神经网络的智能控制策略及其在运动控制中的应用。
We use the fuzzy neural networks to solve the real time region traffic distributed control problem.
利用模糊神经网络对城市区域交通进行实时分散控制。
In this paper, the characteristics and advantages of neuro fuzzy intelligent control algorithm, which is an intersection of neural networks and fuzzy logic, are studied.
研究了将神经网络与模糊逻辑融合交叉而形成的神经网络-模糊智能控制算法的特点和优越性。
The fuzzy and neural networks combined control overcomes the stable state error of the fuzzy control and the poor-sensitivity of the neural networks to minor system error.
介绍了一种模糊与神经网络相结合的控制方法，借以克服模糊控制存在稳态偏差的不足和神经网络对小偏差信号不敏感的缺陷。
The paper presents a fuzzy neural networks hybrid control of biped robot control problem.
针对双足机器人控制问题，提出了一种基于模糊神经网络的混杂控制方法。
Has been widely used in function optimization, training neural networks, fuzzy systems control, and other fields.
目前已广泛应用于函数优化，神经网络训练，模糊系统控制等领域。
In this thesis, soft computing based control algorithms including genetic algorithms (GA), fuzzy control, neural networks (NN) and their different combinations are discussed systematically.
本论文对包含遗传算法、模糊逻辑控制和神经网络的软计算的智能控制及其几种不同结合方式做了较为系统的研究。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
We study expert PID control, fuzzy adaptive PID control, RBF neural network PID control, internal control based on RBF neural networks.
研究了专家PID控制、模糊自适应PID控制、基于RBF神经网络整定的PID控制、基于RBF神经网络的内模控制。
Put forward one idea of fuzzy neural networks using to distinguish and forecast non-linearity systems of SARS epidemic situation. The method can generalize to defend and control on apiece epidemic.
提出了模糊神经网络用于SARS疾病疫情非线性系统建模和预报的思想，该方法可以推广到各种流行性疾病的预防和控制中。
An internal model control strategy is proposed to a class of open loop stable nonlinear systems described by fuzzy neural networks.
针对一类开环稳定的非线性系统，提出了一种基于模糊神经网络的非线性内模控制方案。
Aiming at the low control accuracy of 6-dof parallel platform, a dynamical fuzzy neural network (DFNN) was proposed to control the parallel platform which had advantages of artificial neural networks.
针对六自由度并联平台运动控制精度不高的缺点，结合人工神经网络的优点，提出了一种动态模糊神经网络(DFNN)控制器来控制并联平台。
The latter USES the relevant theories of Fuzzy control and Neural Networks, designs Fuzzy PID control and Single Neuron PID control.
后者运用模糊控制和神经网络控制相关理论，构成了模糊pid控制和基于单神经元网络的PID控制。
Recently, Particle Swarm optimization is applied into function optimization, Neural Networks, data mining, Fuzzy Control System and other application field.
目前微粒群算法已广泛应用于函数优化、神经网络训练、数据挖掘、模糊系统控制以及其他的应用领域。
Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.
介绍了应用两个模糊神经网络分两步进行电梯群控系统交通模式识别，提出了利用专家知识获取样本和训练网络的步骤。
Completing projects in industry automation, computer software, motor control, micro controller application systems, fuzzy control, neural networks and control, and other advanced control techniques.
该系承担过多个工业自动化控制、计算机软件工程、单片机应用系统网络工程、大型灯光工程和音响工程方面的科研项目和实际工程项目。
Completing projects in industry automation, computer software, motor control, micro controller application systems, fuzzy control, neural networks and control, and other advanced control techniques.
该系承担过多个工业自动化控制、计算机软件工程、单片机应用系统网络工程、大型灯光工程和音响工程方面的科研项目和实际工程项目。
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