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.
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.
简要介绍了具有专家调整策略的神经网络自组织模糊控制器在食用酒精发酵温度控制中的应用。
This paper introduces fuzzy neural network controller self organization with expert modulating tactics for the application of edible alcohol ferment temperature control.
提出基于系统特征参数提取的模糊解耦算法，以BP网络构成基于重复检验的专家系统。
A fuzzy decoupling algorithm based on system characteristic parameters and an expert system of BP network based on repetitive verification are established.
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。
Intelligence arc furnace, which makes use of neural network model and numerical model, combines expert system and fuzzy technology, can control the metallurgical quality.
对以模糊逻辑为基础的推理方法进行了探讨，并用以模拟专家的思维过程，提出了条带开采专家系统的推理网络。
Reasoning method based on fuzzy logic is used to simulate thinking processes of human experts, and reasoning network of strip mining expert system has been proposed.
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。
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.
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。
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.
对模糊算法、专家控制系统和神经元网络控制这三种智能控制进行了综合阐述。
To the fuzzy algorithm, the expert control system and the neuron network controller has been discussed.
最后以实例验证了应用BP神经网络结合模糊逻辑和专家意见法进行主导产业的评价的准确性。
At last we use examples to verify the accuracy of the method that combines BP neural network with fuzzy logic and the expert advice to appraise the predominance industry.
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.
研究了专家PID控制、模糊自适应PID控制、基于RBF神经网络整定的PID控制、基于RBF神经网络的内模控制。
We study expert PID control, fuzzy adaptive PID control, RBF neural network PID control, internal control based on RBF 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.
自适应神经网络模糊推理系统(ANFIS)能基于数据建模，无须专家经验，自动产生模糊规则和调整隶属度函数。
Applying Adaptive Neural-Fuzzy Inference System (ANFIS) can produce fuzzy rules and adjust membership functions automatically based on data without experience of experts.
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.
本文通过对气动生产线回路故障特点的研究，提出模糊神经网络故障诊断专家系统的诊断方法。
In this paper, the expert system using Fuzzy Neural network to detect and diagnose faults is put forward through research on pneumatic circuit of assembly lines.
介绍了应用两个模糊神经网络分两步进行电梯群控系统交通模式识别，提出了利用专家知识获取样本和训练网络的步骤。
Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.
提出了基于故障树信息、专家评价的模糊神经网络的风险评价方法，以焦炉煤气储配站系统为研究对象，对其进行了风险评价。
This paper advances an expert assessment method that is based upon the experts logical estimation for evaluating the investment risks of real estate exploitation .
文章阐述了电站电气主设备基于数据库技术、模糊理论、人工智能专家系统及神经网络原理构造的故障诊断系统。
In this paper, a fuzzy database-based intelligence systein on diagnosing electrical faults in power station electric apparatus is proposed.
该系统在现场实际运行中得到了工作人员的一致肯定，证明基于模糊神经网络的专家系统完全可以满足工程中的实际需要，而且优于传统专家系统，具有重要的应用价值。
The system was highly praised by staffs on the spot, the Fuzzy neural network Expert system which is superior to traditional Expert system in engineering is valuable in application.
该系统在现场实际运行中得到了工作人员的一致肯定，证明基于模糊神经网络的专家系统完全可以满足工程中的实际需要，而且优于传统专家系统，具有重要的应用价值。
The system was highly praised by staffs on the spot, the Fuzzy neural network Expert system which is superior to traditional Expert system in engineering is valuable in application.
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