| 高炉异常炉况神经网络专家系统 |
| |
| 引用本文： | 刘金琨,王树青.高炉异常炉况神经网络专家系统[J].钢铁研究学报,1998,10(5):67-70. |
| |
| 作者姓名： | 刘金琨 王树青 |
| |
| 作者单位： | 浙江大学 |
| |
| 基金项目： | 清华大学智能技术与系统国家重点实验室开放课题,中国博士后科学基金 |
| |
| 摘 要： | 采用神经网络来表达高炉专家系统的模糊规则及其隶属函数，生成的网络用于实现模糊推理，从而实现自动修改隶属函数，模拟模糊规则。采用本系统可实现快速的无匹配模糊推理并具有较强的学习能力。
|
| 关 键 词： | 高炉，神经网络，专家系统 |
Neural Network Expert System of Blast Furnace Abnormal Conditions Judgement |
| |
| Liu Jinkun,Wang Shuqing.Neural Network Expert System of Blast Furnace Abnormal Conditions Judgement[J].Journal of Iron and Steel Research,1998,10(5):67-70. |
| |
| Authors: | Liu Jinkun Wang Shuqing |
| |
| Affiliation: | Liu Jinkun Wang Shuqing |
| |
| Abstract: | The fuzzy rules and membership functions are derived into a layered neural network which is trained by back propagation algorithm to modify the membership functions and simulate the fuzzy rules. Fast inference without rules matching process and better learning ability can be realized by this system. |
| |
| Keywords: | blast furnace neural network expert system |
| 本文献已被 CNKI 维普 等数据库收录！ |
