Floating-point coding is adopted to optimize fuzzy control rules, it can improve the efficiency and accuracy of calculation, also can guarantee fastness and global optimal.
采用浮点数编码对模糊控制规则进行优化，既提高了运算效率和计算精度，又保证了控制系统的快速性和全局最优性。
The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed.
本文分析了模糊矢量量化(FVQ)图像编码的原理，提出了一种指数型模糊学习矢量量化算法(EFLVQ)。
Coding for the software, with Fuzzy inquiry function ERP for SCM basic data preparation work.
物料编码查询软件，具有模糊查询功能，用于SCMERP基础数据准备工作。
This paper presents a new method of classifying group With no coding, that is fuzzy clustering analysis method.
本文提出了一种新的无编码分类成组的新方法—模糊聚类分析法。
The fuzzy controller is constructed based on the kinematic model of the robot. Messy coding method is used to reduce the size and complexity of chromosome and increase the learning speed.
根据机器人的运动模型构造了模糊控制器，采用变长度编码方法对规则编码，减少了染色体的尺寸和复杂度，提高了学习速度。
In the coding process, scale factor, fuzzy-control rule and Subordination function are integrated to code in order to complete integral optimizing.
编码过程中对比例因子、模糊控制规则和隶属度函数进行了统一编码，实现了多个因数的整体寻优。
This paper presents a predictive coding model based on adaptive neuro-fuzzy inference system (ANFIS).
提出了一种利用神经模糊推理系统（ANFIS）构建预测器的图像压缩预测编码算法。
This paper presents a predictive coding model based on adaptive neuro-fuzzy inference system (ANFIS).
提出了一种利用神经模糊推理系统（ANFIS）构建预测器的图像压缩预测编码算法。
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