有别于古典逻辑采用精确推理，基于模糊 逻辑所建构的 模糊推论系统 （Fuzzy inference systems）采用近似推理 （Approximation reasoning），是一种拟人式的推论方式，以开车为例：人类在驾 驶时，并未实际测量道路弯度、车与路...
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adaptive neural-fuzzy inference systems 自适应神经模糊推理系统
adaptive neural fuzzy inference systems 自适应神经模糊推理系统
adaptive neutral fuzzy inference systems 自适应神经模糊推理系统
adaptive network-based fuzzy inference systems 基于自适应网络模糊推理系统
enhanced neural-fuzzy-based inference systems 增强基于神经模糊推理系统
The paper introduces a kind of adaptive neural-fuzzy inference systems (ANFIS) based on T-S model to deal with the modeling problem of the complex soda carbonization process.
针对纯碱碳化过程的复杂建模问题，提出基于T-S模型的自适应神经模糊推理系统（ANFIS）的建模方法。
The resolution problem of fuzzy relation equations (FRES) is a very important subject in fuzzy sets and systems, the majority of fuzzy inference systems can be implemented by using FERS.
模糊关系方程的求解问题是模糊集与系统中极其重要的研究课题之一，大部分模糊推理系统都可以通过模糊关系方程实现。
In order to solve the difficult modeling problem of the lithopone calcination process, this paper proposes an adaptive neural fuzzy inference systems (ANFIS) modeling method based on t s model.
针对锌钡白干燥煅烧过程建模难的问题，提出了一种基于T S模型的自适应神经模糊推理系统(ANFIS)建模方法。
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