...局限性和不一致性,系统一旦选定了结构参数后,结构就固定了,导致隶属函数和控制规则不易调节,因而创立了Takagi-Sugeno(高木-关野)新型模糊推理系统。与其它类型的模糊推理方法不同,Takagi-Sugeno型模糊推理将去模糊化也结合到模糊推理(本文共计3页).
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In this paper, the Takagi-Sugeno fuzzy logic system is applied to identifying official and unofficial rhubarb samples based on their infrared spectra.
文章利用红外光谱与高木关野模糊系统相结合鉴别5 2种大黄样品。
参考来源 - 红外光谱与高·2,447,543篇论文数据，部分数据来源于NoteExpress
The nonlinear plant is approximated by a Takagi-Sugeno fuzzy linear model using local linearization method.
采用局部线性化方法，用T-S模糊线性模型逼近非线性系统。
The results obtained by using Takagi-Sugeno fuzzy system were better than those by commonly used BP-networks.
结果表明，用高木-关野模糊系统得到的结果比通常用的BP网络要好。
With a proper network training parameter, 100% correctness can be obtained by using Takagi-Sugeno fuzzy system.
选用适当的网络训练参数，正确率可达到100%。
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