This study shows that the compound fuzzy neural network not only possesses evident dominant in modeling precision, but also possesses a good prospect in the application of production process.
研究表明，论文提出的复合型模糊神经网络不仅在建模精度上有着明显的优势，而且在实际生产过程的应用上具有良好前景。
People have studied the combination of fuzzy logic and neural network. For many years, and achieved good results, especially in the hand of industry process modeling and control.
多年来，人们一直致力于模糊逻辑和神经网络结合方面的研究，并且收到了很好的效果，尤其在工业过程建模和控制方面。
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。
The artificial neural network(ANN) and the fuzzy recognition(FR) are information process systems to simulate biological mechanism.
人工神经网络和模糊识别理论作为模拟生物体的信息处理系统。
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。
The Fuzzy Neural Network (FNN) methodology is proposed to realize the model of the nonlinear process.
模糊神经网络(FNN)方法可以实现非线性过程模型。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
A controlling model of inverter spot-welding process and a fuzzy neural network configuration about inverter spot-welding with constant current control were built in this paper.
推导了逆变点焊过程控制模型，并构建了逆变点焊模糊神经网络恒电流控制系统结构。
The count propagation network (CPN) was taken as framework, combining an improved fuzzy control algorithm, to realize the fuzzy-neural control of fermentation process.
采用自组织计数传播网络（CPN）作为框架，结合改进的模糊控制算法，实现对发酵过程的模糊神经元控制。
Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.
分别使用模糊聚类方法、混合模糊神经网络、关联规则挖掘等知识发现方法对间歇过程中的配方、周期性污垢、操作策略规则等进行挖掘和处理。
Based on analyzing the characteristics of Nontoxic Process for Extraction Gold, a fuzzy-neural network control algorithm is prevailed.
文中在分析了无毒提金工艺过程特性的基础上，提出了模糊神经网络控制的算法。
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。
Because fuzzy neural network is simple and practical, it has been widely used in industrial process control, signal processing and other fields.
模糊神经网络由于其简单实用，已被广泛用于工业过程控制、信号处理等领域。
A fault diagnosis method based on fuzzy theory and neural network was studied too. Its realizable process directed against MS6001 gas turbine set was introduced.
在此基础上研究了模糊逻辑和神经网络的故障诊断方法，并结合MS 6 0 0 1燃气轮机机组介绍了具体实现的过程。
A fuzzy neural network was founded to simulate the process of yeast fed batch fermentation.
利用模糊神经网络构建了酵母流加发酵过程的网络模型。
The results of experiment on the pulse TIG welding process show that the fuzzy inference-neural network control scheme presented in this paper is effective.
将上述方法用于实际脉冲TIG焊过程控制，结果表明模糊神经网络控制方案有效。
In the paper, fuzzy neural network method is used to control the size accuracy in grinding process and fuzzy inference BP-network model is produced.
采用模糊神经网络方法进行磨削加工尺寸精度的控制，给出了模糊推理BP网络模型。
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
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