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。
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。
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。
Simulation results show that the fuzzy control and neural network can take advantage of each other to possess a good performance in the uncertain nonlinear system.
仿真结果表明，该方案可以实现模糊控制和神经网络的优势互补，对不确定非线性系统具有很好的控制效果。
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。
The paper introduces a control system of heating process furnace based on the fuzzy neural-network. The system has advantages of simple operation, strong robustness and good reliability.
介绍一种基于模糊神经网络的热处理电加热炉控制系统。本系统操作方便、运行可靠，具有较强的鲁棒性和可靠性。
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。
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。
The ANFIS design method is a blend intelligent system which combines the Fuzzy Logic system (FLS) and the Annual Neural Network (ANN) and USES their's strongpoints.
ANFIS设计方法是一种将模糊逻辑系统(FLS)和人工神经网络系统(ann)相结合，利用两者各自的优点所形成的混合智能系统。
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。
The model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters based on the theory of neural network is adopted.
该模型采用基于神经网路理论的模糊模型参数辨识方法，很适合于复杂系统的模糊预测和控制。
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 paper USES DSP system board designed by ourselves. Its main task is data process real-time control and expert Fuzzy neural network control scheme.
采用了自行设计的DSP系统板，它主要完成数据处理及实时控制以及专家模糊神经网络的控制方案。
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。
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 matching and optimizing system of rock and explosive based on fuzzy integration judge and neural network is established by use of neural network and fuzzy mathematical method.
运用神经网络和模糊数学方法，建立基于模糊和神经网络的炸药与岩石匹配优化系统，并应用于工程实践。
When obtaining plenty data, self-adapt neural network fuzzy control system ANFIS come into being subjection degree function and fuzzy rule, namely come into being fuzzy controller.
当获得了足够的数据后，通过自适应神经网络模糊系统ANFIS来训练产生隶属度函数和模糊规则，即产生模糊控制器。
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。
DSP chip is applied in hardware design to ensure real-time performance of control system, and fuzzy-neural network algorithm is adopted to overcome uncertainness of control model.
控制系统的硬件采用了DSP芯片，以保证系统的实时性；软件采用了模糊-神经网络算法，以克服系统模型的不确定性。
Experiment results show that the algorithm can obtain the advantages of the fuzzy system and the neural network can have better performance in controlling the nonlinear and complex system.
仿真实验表明，该算法可实现模糊控制和神经网络的优势互补，对非线性复杂系统具有良好的控制性能。
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 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。
Simulation results show that this fuzzy-neural network estimator can precisely measure the value of resistance and improve the low-speed performances of DTC system efficiently.
仿真结果表明了模糊神经网络观测器可实现对定子电阻的精确检测，从而提高直接转矩控制系统的低速性能。
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。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
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