The fuzzy neural network model for dynamic equation of the PMT is established.
本文建立了求解并联机构动力学方程的模糊神经网络模型。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
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)。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.
为了进一步提高网络入侵检测系统的检测性能，将模糊积分理论和神经网络技术应用到网络入侵检测中，提出了基于模糊积分的多神经网络融合模型MNNF。
In this paper the technologies of model forecasting and the fault model identification and the intelligence monitoring using fuzzy system and neural network are studied.
本文主要对模糊系统和神经网络技术在模型预测、故障模式分类和智能监测中的应用进行了研究。
Considering the uncertainty of network model and time variability of network parameters, a fuzzy control active queue management algorithm based on input rate and queue variance is proposed.
针对网络模型的不确定性和参数的时变性，该文提出了一种基于输入速率和队列长度变化的模糊控制主动队列管理算法。
This paper puts forward a new method that combines uncertain AHP with fuzzy comprehensive assessment technology to build an assessment model of network survivability.
本文提出了将不确定型ahp和模糊综合评估技术相结合的方法，建立网络生存能力评估模型。
On the basis of the merits of fuzzy judgment and neural network judgment, a new model for air quality assessment is proposed.
基于模糊数学评价法和神经网络评价法的优点，提出了一种新的大气质量评价模型。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
In the application of the image segmentation, the new model solves the over-segmentation of the original Fuzzy ART neural network algorithm due to the vigilance's increase.
将该模型应用于图像分割，解决了传统模糊art网络图像分割结果随警戒参数的升高而出现的过度分割。
This paper deals with the computational model for fuzzy reasoning neural network and its function approximation capability.
研究了模糊推理神经网络计算模型及其连续函数逼近能力。
A model of rough fuzzy neural network classifiers is proposed.
提出了一种粗糙模糊神经网络分类器的模型。
The Fuzzy Neural Network (FNN) methodology is proposed to realize the model of the nonlinear process.
模糊神经网络(FNN)方法可以实现非线性过程模型。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
In the third part, the prediction model of fuzzy optimal selection neural network based on chaotic optimization algorithm is studied.
第三部分对基于混沌优化算法的模糊优选神经网络预测模型进行研究。
A commercial bank credit risk assessment model based on fuzzy neural network is established using the credit assessment index system established for commercial Banks.
在确立了商业银行信用风险评价指标体系的基础上，建立了基于模糊神经网络的商业银行信用风险评估模型。
Intelligence arc furnace, which makes use of neural network model and numerical model, combines expert system and fuzzy technology, can control the metallurgical quality.
智能电弧炉是应用神经网络模型与数字模型、专家系统、模糊技术等结合起来控制冶金过程。
A model of rough fuzzy neural network classifier was presented by combining rough set and fuzzy neural network.
结合粗糙集和模糊神经网络提出了一种粗糙模糊神经网络识别器的模型。
And introduce the fuzzy neural network models to improve the fuzzy comprehensive evaluation model.
并且引入模糊神经网络算法对模糊综合评判模型进行改进。
It introduces the production function which is used to establish the fuzzy nerve network model, then determines the structure of fuzzy nerve network and describes it.
本章首先对构建模糊神经网络模型的生产函数进行描述，进而确定了模糊神经网络的结构并进行了描述。
It established the model's output mathematic function and learning algorithm. Computer simulations showed the equivalence of fuzzy chaos neural network model and the original chaotic system.
确定了模型的输出函数，并推导了模型的学习算法，仿真结果表明永磁同步电机的模糊混沌神经网络模型与原系统是等价的。
The model was a Feedforward Fuzzy neural network possessing five layers, and Gradient Descent was adopted as learning algorithm.
该模型采用五层前向模糊神经网络，学习算法为梯度下降法。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
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。
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。
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