fuzzy system
英 [ˈfʌzi ˈsɪstəm]
美 [ˈfʌzi ˈsɪstəm]
网络 模糊系统; 模糊系統; 模糊推理系统; TSK模糊系统; 模糊体系
双语例句
- This paper introduces the architecture and working principle of an adaptive fuzzy system ( AFS). At the same time, the new techniques and approaches presented in constructing AFS are discussed.
介绍一种自适应模糊系统的组织结构、工作原理以及在实现AFS过程中提出的新方法与新技术。 - This fuzzy system design method that uses a fuzzy rule to represent a cluster is then propsed so that a fuzzy classifier can be efficiently constructed to correctly classify the training data.
用这样一个模糊规则来表示分类的模糊系统，更加有效地构建了一个能对训练样本比较准确分类的模糊分类器。 - Applying the fuzzy system in neural networks, the neural network is no longer a black box, and humanity's knowledge is very easy to fuse in the neural network.
把模糊系统应用于神经网络，神经网络就不再是黑箱了，人类的知识就很容易融合到神经网络中。 - Construction of T-S fuzzy system and the sufficient condition of its approximation ability
T-S模糊系统的构造及其逼近能力的充分条件 - Then, an algorithm based on iterative linear matrix inequality ( ILMI) was proposed to compute the static output feedback gain of continuous uncertain T-S closed-loop fuzzy system.
为了计算连续不确定T-S闭环模糊系统的静态输出反馈增益，提出了基于迭代线性矩阵不等式的算法。 - This paper introduces the principle of the olfactory analogy, and advances a method for designing the fire alarming system of intelligent building by using neural network and fuzzy system theory.
介绍了人工嗅觉模拟技术的原理，提出了一种利用神经网络和模糊系统理论设计智能建筑火灾报警系统的方法。 - Overview of methods of fuzzy system identification on T-S model
基于T-S模型的模糊系统辨识方法综述 - A Fuzzy System Modeling Method Based on Data-driven
一种基于数据驱动的模糊系统建模方法 - In this paper, we will study the nonlinear approximation of a kind of nonlinear T-S fuzzy system, and prove that when the fuzzy sets are Gaussian membership functions, it has universal approximation.
本文将对一类非线性T-S模糊系统的非线性逼近能力进行研究，证明这种模糊系统在输入模糊子集为高斯型隶属函数的情况下，具有通用逼近性。 - Stability Analysis of Uncertain T-S Fuzzy System Based on Descriptor Representation
基于广义系统表达式的模糊系统稳定性分析 - The state of art of fuzzy system structure identification was briefly reviewed.
简要回顾了模糊系统结构辨识的研究现状与发展。 - A Control Algorithm of a Fuzzy System for Microcomputer Control
一种用于微机控制的模糊系统的控制算法 - Such aspects of KDD are discussed as manual neural network, fuzzy system evolutionary algorithms, rough set, decision tree, support vector machine, etc.
从人工神经网络、模糊系统进化计算、粗糙集理论、决策树、支持向量机等方面对此进行讨论。 - Dominance-based Rough Set Approach and Knowledge Reductions in Incomplete Fuzzy System
不完备模糊系统的优势关系粗糙集与知识约简 - A binary tree-type hierarchical fuzzy system was developed to simplify analysis of large fuzzy systems and the universal approximation of the system is also analyzed.
为解决多变量模糊系统中的“维数灾”问题，该文提出了一般二叉树型分层模糊系统，简化了多输入复杂模糊系统的分析，并研究了它的通用逼近性。 - This paper proposes an approach to improve the conservatism of those stability conditions of T-S fuzzy system.
提出一种改进的方法以降低T-S模糊系统稳定性判定方法的保守性。 - 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。 - The fuzzy system can perform a smooth transition from one region of control to the next.
这个你可以联想一下全自动带模糊控制的洗衣机。 - Thereby, based on the loop-detected-data on urban expressway, the paper introduces a knowledge-based fuzzy system to identify traffic conditions.
因此，基于快速路检测线圈数据，引入了基于知识的模糊系统来判别快速路交通状态。 - For PMLM control system, the output of speed control using the proposed fuzzy system includes a stable and a changing value when the controlled system is close to stable state.
对于PMLM控制系统，当接近稳定状态的时候，保证稳态精度的模糊控制系统的输出是稳态值和变量值这两部分的和。 - 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%。 - In this paper, the center of gravity fuzzy system and its probability representation theory is studied.
研究基于R0-蕴涵伴随对的重心法模糊系统及其概率表示理论。 - Automatically designing and tuning the fuzzy knowledge-based system, self-learning fuzzy techniques based on GA can find the optimized fuzzy system for AGA by the reinforcement learning method.
通过强化学习方式自动设计和调整模糊知识系统，基于GA的自学习模糊技术可以获取AGA所需的优化模糊系统。 - A Method to Simplify Fuzzy System Based of the Overlap of Fuzzy Sets
利用模糊子集重叠性简化模糊系统的一种方法 - Moreover, fuzzy system can also make up the shortcoming of slow operational rate of the neural network.
利用神经网络的自学习特性，实现隶属度函数和模糊规则的自动提取，可优化调整隶属度函数，同时模糊系统也弥补了神经网络运算速度慢的缺点。 - A time delay multi variable predictive control method based on fuzzy model is presented by using dynamic matrix control theory to fuzzy system.
把动态矩阵控制原理应用到模糊系统，提出了一种基于模糊模型的时滞多变量预测控制方法。 - Stability of discrete fuzzy system based on dynamic fuzzy model is first analyzed in the opinion of series and Lyapunov stability. Sufficient conditions of stability are obtained.
分别从级数和Lyapunov稳定的角度分析了基于动态模糊模型的离散模糊系统的稳定性，得到了稳定性的充分条件。 - Immediately after the point introduced a new central fuzzy system CTSK ( Central TSK Fuzzy System) is introduced.
接着引入并详细分析推导了一种新的TSK模糊系统CTSK（CentralTSKFuzzySystem）。 - An intelligent algorithm for processing fire detection signal is proposed aiming at the characteristic of fire detection. The automatic adjusting of design parameter in fuzzy system is realized by integrating fuzzy system and neural network.
针对火灾探测的特点，提出了一种处理火灾探测信号的智能算法，将模糊系统和神经网络有机结合，实现模糊系统设计参数的自动调整。 - Study of New On-line Diagnosis for Electric Machines and Fuzzy System
电机在线诊断和模糊系统的研究