Data of 60 software projects is used as specimen to train the neural network system and fuzzy neural network system.
将60个软件项目的相关数据作为样本，分别对神经网络和模糊神经网络两种系统进行训练。
This paper puts forward a fuzzy neural network system aimed at stock price prediction, and an ameliorative method on its function is studied.
本文提出了一个面向股市预测的模糊神经网络系统，并针对系统性能的改善进行了深入研究。
Fuzzy Neural Network System (FNNS) can construct input? Output relationship by means of input and output signal and FNNS has special characteristics of adaptive learn while environment is changing.
模糊神经网络系统可以根据系统输入输出信号，建立系统的输入输出关系，并对环境的变化具有较强的自适应学习能力。
This feature can be finely described by the way of neural network and fuzzy mathematics etc. in an effort to develop the computer based expert system for coal blend successfully.
这种特征可以综合运用神经网络、模糊数学等现代数学方法加以满意地描述，并在此基础上成功地开发了优化配煤专家系统。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
This Paper discusses an intelligent fire alarm system based on fuzzy neural network.
本文介绍了一种基于模糊神经网络的智能型火灾报警系统。
According to fault characteristic of the electro hydraulic servo system, this paper has proposed a fault tolerant project that USES the fuzzy neural network as an identifier on-line.
根据电液伺服系统的故障特点，本文提出了采用模糊神经网络做在线辨识器的容错控制方案。
Two kinds of fuzzy neural network models' application to the quantitative analysis in an electronic nose system are put forward and realized.
提出并实现了两种类型的模糊神经网络用于电子鼻系统的定量识别。
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)。
The article analyses original methods of DGA fault diagnose, include three-ratio method, artificial neural network method, Fuzzy Theory, diagnosing expert system, grey relational algorithm, et.
本文分析了原有的DGA故障诊断方法，包括三比值法、人工神经网络法、模糊理论、变压器诊断专家系统、灰色关联算法等。
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。
The decoupling and level control of the three-tank system is implemented by using fuzzy neural network decoupling technology.
本文采用模糊-神经网络解耦控制技术实现了对三容系统的解耦及液位控制。
Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.
本文提出一种模糊神经网络自学习控制方法，并应用于窑炉温度控制系统中。
Fuzzy logic and neural network controller and their applications in an electro hydraulic servo position system are discussed.
讨论了模糊逻辑和神经网络控制器在电液伺服位置系统中的应用。
An optimal control scheme based on fuzzy neural network is proposed through simulating the process of the control system.
通过对控制系统的过程模拟，提出一种模糊神经网络最优控制方案。
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。
This paper introduces the principle of the olfactory analogy, and advances a method for designing the fire alarming system of intelligent building by using neural network and fuzzy system theory.
介绍了人工嗅觉模拟技术的原理，提出了一种利用神经网络和模糊系统理论设计智能建筑火灾报警系统的方法。
In this paper, a ship fire alarm system is designed using fuzzy system theory and neural network.
提出了一种利用神经网络和模糊系统理论设计船舶火灾报警系统的方法。
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。
Then, applying adaptive control system based on improved fuzzy neural network, a TCBR controller is designed.
然后应用一种改进的模糊神经网络自适应控制系统，设计了TCBR的控制器。
For vector control AC drive system, the thesis presented a fuzzy neural network speed controller based on reinforcement learning.
针对矢量控制交流调速系统，该文提出并设计了一种基于再励学习的模糊神经网络速度控制器。
Emphasis is put on the fuzzy logic control, neural network control, and both crossed neural network with fuzzy control system along with its application and design.
文章着重介绍模糊逻辑控制、神经网络控制以及它们的交叉结合的神经网络-模糊控制系统及其应用与设计。
By integrating expert system with fuzzy neural network, a new type of two-level coordination intelligent control system used in complex industrial processes is proposed in this paper.
针对复杂工业过程控制系统的特点，提出一种专家系统和模糊神经网络相结合的二级协调智能控制系统。
The controllable pitch propeller control system based on fuzzy and neural network control is proposed, the result shows that the system design is feasible and effective.
在此基础上提出了基于模糊神经网络控制的调距桨控制系统的设计，仿真试验结果表明了调距桨控制系统设计的合理性。
The thesis uses fuzzy neural network' s approach ability to prove that a fuzzy neural network with a finite rule number can optimally predict a chaotic system with noise.
本文利用模糊神经网络的通用逼近性，证明了在噪声情况下利用有限规则数的模糊神经网络可以以最小的误差预测混沌系统。
A novel indirect adaptive controller based on dynamic recurrent fuzzy neural network (DRFNN) is proposed for affine nonlinear system.
针对仿射非线性系统，提出了一种新型的基于动态递归模糊神经网络(DRFNN)的间接自适应控制器。
The fuzzy neural network technology has provided strong technology support for intelligent fuzzy sensor system.
模糊神经网络技术为智能模糊传感器系统设计提供了强有力的技术支持。
The fuzzy neural network technology has provided strong technology support for intelligent fuzzy sensor system.
模糊神经网络技术为智能模糊传感器系统设计提供了强有力的技术支持。
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