Neuro-Fuzzy Network for Parameter Learning Expert System on Blast Furnace

机译：高炉参数学习专家系统的神经模糊网络

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Parameter learning is one of the most important parts of expert system on blast furnace. This paper introduces neuro-fuzzy network to the above parameter learning expert system, which combines fast BP learning algorithm with linear reinforcement. The proposed neuro-fuzzy network can realize fuzzy inference and tune the membership functions and the reliability of the rules. The results of parameter learning can be directly applied for the meaning of the nodes in above network defined clearly.

机译：参数学习是高炉专家系统最重要的部分之一。本文将神经模糊网络引入到上述参数学习专家系统中，该系统将快速BP学习算法与线性增强相结合。所提出的神经模糊网络可以实现模糊推理，并调整隶属函数和规则的可靠性。参数学习的结果可以直接应用于上面明确定义的上述网络中节点的含义。

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《Measurement and Control of Granular Materials(MCGM 2006)》|2000年|254-258|共5页
会议地点 Xian(CN)
作者
Wang yutao; Zhou jianchang; Wangshi;
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School of Information Science Engineer, Northeastern University Wenhua Road, Heping District, Shengyang 110006, P.R.China;

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原文格式 PDF
正文语种 eng
中图分类粉末技术;
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专利

1. A COMPARISON OF FUZZY EXPERT SYSTEMS, NEURAL NETWORKS AND NEURO-FUZZY APPROACHES - CONTROLLING ENERGY AND MATERIAL FLOWS [J] . Tuma A., Rentz O., Haasis HD. Ecological Modelling . 1996,第1期

机译：模糊专家系统，神经网络和神经模糊方法的比较-控制能量和材料流动
2. A COMPARISON OF FUZZY EXPERT SYSTEMS, NEURAL NETWORKS AND NEURO-FUZZY APPROACHES - CONTROLLING ENERGY AND MATERIAL FLOWS [J] . Tuma A., Rentz O., Haasis HD. Ecological Modelling . 1996,第1期

机译：模糊专家系统，神经网络和神经模糊方法的比较-控制能量和材料流动
3. Automated Expert Systems in Blast-Furnace Process Control [J] . Trofimov V. B. Metallurgist . 2020,第1a2期

机译：高炉过程控制中的自动专家系统
4. Neuro-Fuzzy Network for Parameter Learning Expert System on Blast Furnace [C] . Wang yutao, Zhou jianchang, Wangshi, International Conference on Measurement and Control of Granular Materials . 2000

机译：高炉参数学习专家系统的神经模糊网络
5. Opening the black box of neural networks and breaking the knowledge acquisition bottleneck of fuzzy expert systems with a hybrid neuro-fuzzy image classification system. [D] . Qiu, Fang. 2000

机译：用混合神经模糊图像分类系统打开神经网络的黑匣子，打破模糊专家系统的知识获取瓶颈。
6. Effect of the Formation of Amorphous Networks on the Structure and Hydration Characteristics of Granulated Blast Furnace Slag [O] . Yuhan Yao, Yali Wang, Qi Wei, 2020

机译：非晶网络的形成对高炉矿渣颗粒结构和水化特性的影响
7. Using Expert Systems in Blast Furnace Operation — a few preliminary impressions [O] . Per Storm 1998

机译：使用高炉运行中的专家系统 - 一些初步印象
8. Application of Expert Systems and Knowledge Based Systems to Support Operation ofIron Blast Furnace [R] . Vapaavuori, E. 1996

机译：专家系统和知识库系统在铁矿高炉运行中的应用

Neuro-Fuzzy Network for Parameter Learning Expert System on Blast Furnace

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