模糊推理

在max-⊙复合运算下，基于Rb的模糊推理方法

A Fuzzy Reasoning Method based on Rb under Max - ⊙ Compositional Operation

基于模糊推理的SAR干扰效果评估

Assessing of Jamming Effect on SAR Based on Fuzzy Reasoning

收割机智能CAD中的模糊推理与图形生成

Fuzzy inference and graph produced in intellectual CAD of harvester

模糊推理系统在DSP上的实现和优化

Realization and optimization of Fuzzy Inference system in DSP

P2P网络中基于模糊推理的信任综合评判

Trust comprehensive evaluation based on the fuzzy inference theory in P2P network

笔者将人工神经网络的BP学习算法用于船舶碰撞危险评价的研究，试图用神经网络的BP算法代替模糊推理系统。

Authors use back propagation learning algorithm of neural network to make assessment of ship collision risk .

基于Vague集模糊推理机制的温度控制系统设计

Vague Set Fuzzy Reasoning Mechanism based on the Temperature Control System Design

CAPP系统中特征工艺的模糊推理方法

Fuzzy Reasoning Methodology of Feature Process in CAPP System

广义模糊推理与广义模糊RBF神经网络

Generalized Fuzzy Inference and Generalized Fuzzy RBF Networks

B-Spline函数的自适应网络模糊推理系统

An Adaptive Network Fuzzy Inference System Based on B-Spline Function

它将模糊推理与传统PID控制相结合，使调速器进一步适应调节系统工况的变化。

Combining the fuzzy logic and traditional PID control , it makes governor more adaptive to the real operation conditions .

建立了模糊推理目标类型识别模型，并用MATLAB模糊逻辑工具箱完成了此功能，此方法简单有效。

The model of target type recognition is proposed . It is solved by MATLAB fuzzy toolbox . This method is simple and efficient .

神经网络具有自学习和并行处理信息的能力，其BP学习算法对于建立和调整模糊推理系统效果比较好；

Neural network has the abilities of self-learning and parallel-processing , and its BP algorithm is a powerful method to establish and tune fuzzy inference systems .

由于传统的PID调节器的操纵性能不能令人满意，故本文提出一种应用模糊推理功能实现PID参数自整定的控制。

In this paper , the fuzzy controller of PID parameters self-adjustment is proposed , it can automatically adjust PID parameters according to ship dynamic feature .

基于AFS方法的模糊推理规则

Fuzzy logical regulation based on the AFS theory

在ANP基础上，提出了自相关噪声处理神经模糊推理（ANFIS）的概念及相关算法。

Proposed the concept and algorithm of adaptive network-based Neuro-fuzzy inference system ( ANFIS ) .

本文介绍了连续双边谈判模型中Agent所使用的议价策略，该策略使用启发式规则和模糊推理机制适应了交易信息的不完整性和交易环境的不确定性。

This paper proposes a bidding strategy for Agent in continuous double auction . The strategy uses fuzzy rules and fuzzy reasoning to cope with incompleteness of information and uncertainty of trading environment .

采用将模糊推理Petri网与矩阵运算相结合的形式化推理算法，对所提出的决策算法进行了论述。

By combining fuzzy reasoning Petri nets with matrix operation , a reasoning algorithm of formalized is adopted to discuss the model of decision-making .

分析了目前典型的GPS探测车交通参数估计模型，如多元回归、神经网络、模糊推理及速度积分等模型。

Typical approaches to estimate traffic parameter in this solution are analyzed , such as multiple regression analysis , neural network , fuzzy inference and integral of speed data .

在线进行模糊推理的实时模糊控制算法的研究比较本文鲁棒PID算法和文献[1]模糊控制算法的仿真结果，得出前者的控制性能优于后者，同时具有良好的鲁棒稳定性。

The control performance and robust stability of robust PID algorithm are better than that of fuzzy control algorithm in reference [ 1 ] by comparing their simulation results .

为了在产品拆卸序列决策时，简化拆卸路径的分析难度，提出一种以模糊推理Petri网为工具的产品拆卸序列决策模型。

In order to predigest the analysis difficulties of disassembly path , a decision-making model of product disassembly sequence is proposed based on fuzzy reasoning Petri nets .

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 ) .

当在知识库中搜索到相应的知识规则后，采用T-S模糊推理模型的求解策略进行求解。

When the knowledge rule is found in the knowledge files , T-S fuzzy inference model is applied to resolution of question .

使用MATLAB中的自适应神经模糊推理系统（ANFIS）可以更加准确地自动调整隶属函数参数。

The adaptive network-based fuzzy inference system ( ANFIS ) of MATLAB can help us to obtain a more accurate self-adaptive parameter of the membership function .

模糊推理能有效地处理模糊性和不确定性问题，而专家系统具有很强的逻辑推理和问题综合的能力，两者结合能有效解决AUV的自救问题。

Fuzzy inference can solve the uncertainty and fuzzy problem effectively . Expert system has the logical inference and synthesizes problems capability .

模糊推理网络（FIN）和模糊联想记忆网络（FAM）是两种最重要的FNN模型。

Fuzzy inference network ( FIN ) and fuzzy associative memory network ( FAM ) are two most important FNN models .

通过网中token值的变化以及文中给出的算法就可以计算出加权模糊推理的最终目标。

According to the change of the token value and the algorithm presented in this paper , the final goal of the weighted fuzzy reasoning can be calculated .

在红外-可见光双通道图像融合实验中，采用Gabor滤波提取两幅图像的纹理特征，并分别采用两种模糊推理方法进行特征层融合。

During experiments two texture images are extracted by Gabor filter from dual-band infrared and visual image , and fused at feature level using above methods .

本文对自适应神经模糊推理系统（ANFIS）在非线性船舶舵阻横摇中的应用进行了仿真研究。

Adaptive neural-fuzzy inference ( ANFIS ) and its application on the nonlinear ship rudder damping system are studied in this thesis .

由于RBF网络与模糊推理过程具有函数等价性，可以将两种不同构造的系统在函数上统一起来，使网络的参数和运算具有明确的含义。

As RBF network is equivalent to fuzzy reasoning in function , we can unified the two different systems , so that the network parameters and operations have a clear meaning .