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。
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.
将模糊数学、神经网络方法及灰色系统理论有机地结合起来，应用于金山金矿采矿方法选择中是一次新的尝试。
The combined use of fuzzy mathematics, neural net method and gray system theory in the selection of mining method for Jinshan gold mine was a new trial.
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。
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.
本文提出了专家系统和模糊理论应用到神经网络的容差模拟电路故障诊断方法，尤其对容差电路的软故障诊断做了重点阐述。
This paper presents a new approach of fault diagnosis for tolerance analog circuit, and especially expounds the soft fault diagnosis in tolerance analog circuit.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
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 way combines fuzzy control with neural networks to build the model of control system.
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.
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。
Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.
仿真结果表明该方法精简了网络的结构，减少了训练的时间，为模糊神经网络用于实时控制系统提供了可能的条件。
The method can simplify the structure of network and reduce the time of training that supplies the possibility that FNN is used in realtime control system.
该文应用自适应神经网络模糊推理系统的方法对一个典型系统进行建模仿真，并阐述这三个参数的寻优方法。
This paper gives the simulation example for modeling a typical system with Adaptive Neural-Fuzzy Inference system and expatiates the method for choosing these three parameters.
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.
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 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.
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。
In this paper, a ship fire alarm system is designed using fuzzy system theory and neural network.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
利用高阶统计量模糊神经网络方法对液压系统故障进行诊断，解决低信噪比故障特征信号下的故障诊断问题。
A method to diagnose the fault of the hydraulic system based on the high order cumulant fuzzy neural network method is presented.
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。
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.
本文提出了一种基于模糊-神经网络混合系统(FNNHS)的图象分割方法。
This paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system (FNNHS).
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。
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.
提出了一种基于多神经网络的分布式箱式变电站故障诊断系统的结构和构建方法，并介绍了对故障特征信息进行模糊化处理的方法。
The structure and construction method of one kind of distributed fault diagnosis system for box-type transformer substation based on multiple artificial neural networks are described.
本文基于化工环境腐蚀性的模糊综合评判，采用神经网络的方法建立了一个较为完善的环境腐蚀性评价系统。
Based on the fuzzy evaluation of the environment corrosiveness, the BP method is used to establish a better environment evaluation system.
重点研究了模糊控制器的设计、系统增益参数的确定方法和BP神经网络的实现方法。
The emphasis is placed on the design of the fuzzy controller, the method of determining system′s gain parameter and the method of realizing BP neural network.
本文应用基于遗传算法的模糊神经网络方法，建立了科研项目立项评审的智能管理系统。
An approach to the technology with fuzzy systems, neural networks and genetic algorithms is given.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
应用推荐