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.
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.
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.
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.
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.
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.
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.
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.
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.
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