综上所述，两种改进的模糊神经网络都具有一定的理论价值和应用价值，值得进一步推广运用。
To summarize, two kinds of improved feedforward fuzzy neural networks have some values in theory and application and is worth further extending.
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 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.
提出利用直接自适应模糊神经网络控制一类不确定非线性混沌系统新方法。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system 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。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
基于均匀设计、差分法和模糊人工神经网络建立了新的隧道围岩物理力学参数反分析方法。
The new back analysis method of physics and mechanics parameters of surrounding rock was established by uniform design, calculus of differences and fuzzy artificial neural networks in this paper.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物，为复杂系统建模提供了一种有效工具。
Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
这样的网络构成了基于知识的模糊神经网络。
Such configured artificial neural networks are knowledge-based fuzzy neural networks.
为了充分利用这两种测强手段的特点，本文将模糊神经网络应用到混凝土强度综合评定中。
This paper presents an integrated evaluation approach for concrete strength using Fuzzy Neural Networks (FNN) to take full advantage of the two methods.
在故障诊断领域，模糊神经网络技术的应用代表着一个新的研究方向。
Fuzzy neural networks technology application is a new approach in the arena of the analog fault diagnosis.
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。
An internal model control strategy is proposed to a class of open loop stable nonlinear systems described by fuzzy neural networks.
评价功能是基于决策者(专家)的知识和模糊神经网络实现的，适用于以语言型变量为主的系统的评价问题。
The evaluation system is realized based on the decisionmakers' knowledge and the fuzzy neural networks, and suitable for the problems in which most variables are linguistic variables.
基于报警准则采用模糊神经网络方法，提出一种多输入、多输出的协作预警算法模型，用于支持碰撞预警系统。
By adopting fuzzy neural networks method, the cooperation CWA model of multi-input and multi-output is established which is used in supporting vehicle collision warning system.
该模型结合了基于热平衡的数学模型和模糊神经网络模型，再通过一个智能协调器输出结果。
The model combines a mathematical model based on heat balance and a fuzzy neural networks model, the results are sent through an intelligent coordinator.
然后提出了两种改进的前馈模糊神经网络，并应用于解决石油工业中的实际问题。
Then two improved feedforward fuzzy neural networks are presented and applied to resolving the practical proWem in petroleum industry.
实验的测试结果表明，用两个模糊神经网络可以准确的辨识出各种交通模式。
Testing results prove that each traffic pattern can be distinguished exactly by two fuzzy neural networks.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
本文提出了一种训练模糊神经网络的加速进化规则算法。
In this article, a kind of accelerated evolutionary programming is presented to training the fuzzy neural networks.
基于模糊逻辑理论和人工神经元网络，提出了将模糊神经网络应用于变压器故障诊断的方法。
Based on fuzzy logic theory and artificial neural networks, the method of the transformer fault diagnosis with fuzzy neural networks is presented.
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。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
利用模糊神经网络对城市区域交通进行实时分散控制。
We use the fuzzy neural networks to solve the real time region traffic distributed control problem.
通过补偿模糊推理和快速学习算法的引入，使得补偿模糊神经网络在性能上优于一般的模糊神经网络。
Through the introduction of compensatory fuzzy inference and quick arithmetic, the property of compensatory fuzzy neural networks is superior to that of common fuzzy neutral networks.
提出了一种训练模糊神经网络的加速进化规划算法。
In this paper, a kind of accelerated evolutionary programming is presented to training the fuzzy neural networks.
其次，本文对结合模糊专家系统和模糊神经网络来选择教学方法进行了深入探讨。
Secondly, we make a thorough study of teaching method selection that combines the fuzzy expert system and fuzzy neural networks.
实验研究结果表明：模糊神经网络可以成功地用于泵压式液体火箭发动机热试车的振动故障检测。
The results of experimental research have shown that the fuzzy neural networks can be successfully employed in the vibration fault detection in the firing tests of a turbo pump liquid rocket engine.
本文研究了模糊神经网络，用神经网络结构进行模糊推理，用BP算法调节和优化具有局部性的参数。
In this paper, fuzzy neural network was studied and fuzzy reasoning was realized by use of neural networks structure. BP algorithm is used to optimize local parameter.
对一种基于模糊神经网络的故障诊断方法进行了研究，探讨了模糊神经网络诊断模型和模糊算子选择。
This paper pursues a fuzzy neural networks approach for fault diagnosis and discusses its models and the choice of the fuzzy operators.
基于模糊神经网络提出了一种发动机振动故障检测的基本系统。
Based on fuzzy neural networks, a basic system used for vibration fault detection of rocket engines is proposed in this paper.
基于模糊神经网络提出了一种发动机振动故障检测的基本系统。
Based on fuzzy neural networks, a basic system used for vibration fault detection of rocket engines is proposed in this paper.
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