Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models.
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。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
Based on the technology of fault converse inference, fuzzy nerve network and software adjusting itself etc, this system's reliability and flexibility is greatly enhanced.
该系统采用了故障逆向推理机制、模糊神经网络技术和软件自校准技术，有效地提高了系统的可靠性、灵活性。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is introduced in this paper.
本文介绍了一种具有快速学习算法、能够执行补偿模糊推理的补偿模糊神经网络。
In the neural network corresponding to multidimensional fuzzy inference, the weights are adjusted by means of solution to fuzzy relation equation.
其中在多重模糊推理神经网络中，通过求解模糊关系方程的方法来确定网络的权值。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
A process parameters design system of resistance spot welding of aluminum alloys integrating case based reasoning, fuzzy inference and fuzzy neutral network (FNN) was developed.
采用集成基于事例推理，模糊推理，模糊神经网络(FNN)等多种人工智能推理技术，建立了铝合金电阻点焊工艺参数设计系统。
The fuzzy inference is realized by neural network, a fuzzy Gauss function neural network is used for two-joint robot tracking control.
利用神经网络实现模糊推理，运用了一种模糊高斯基函数神经网络，并用于两关节机器人的轨迹跟踪控制。
In the control system, Bayes probability is introduced in the fuzzy RBF neural network and it intensity the inference ability and increase the servo precision.
在控制系统中，将贝叶斯概率引入到模糊rbf神经网络中，增强了系统的推理能力，提高了飞机各个航道位置的模拟伺服精度。
This paper presents the improvement of spatial load forecasting method of distribution network, and the fuzzy inference on small area land-use analysis is emphatically studied.
对配电网的空间负荷预测方法进行改进，重点研究小区用地分析的模糊推理模型，把人工神经网络技术与模糊推理系统相结合的方法应用于小区用地分析。
A new concept of generalized fuzzy inference and the generalized fuzzy RBF network model are presented. The generalized Lear ni ng algorithm of this network model is derived.
在提出广义模糊推理概念的基础上，提出并分析了广义模糊径向基(rbf)神经网络模型，给出了该网络的广义学习算法。
In this paper, we present an Adaptive Network-based fuzzy Inference system (ANFIS), based on a neuro-fuzzy controller, as a possible control mechanism for a ship stabilizing fin system.
提出基于自适应网络模糊推理系统(ANFIS)的神经模糊控制器作为船舶减摇鳍系统的控制装置。
In the paper, fuzzy neural network method is used to control the size accuracy in grinding process and fuzzy inference BP-network model is produced.
采用模糊神经网络方法进行磨削加工尺寸精度的控制，给出了模糊推理BP网络模型。
A direct inverse model controller of fuzzy neural network with changeable structure based on t s inference is presented in this paper and it is used to the motion control of mobile robot.
本文提出一种基于T -S模型的变结构模糊神经网络直接逆模型控制器，并将其应用于移动机器人的运动控制中。
The results of experiment on the pulse TIG welding process show that the fuzzy inference-neural network control scheme presented in this paper is effective.
将上述方法用于实际脉冲TIG焊过程控制，结果表明模糊神经网络控制方案有效。
A new superheated steam temperature control system design scheme is proposed, the main controller design is based on Adaptive Network-based Fuzzy Inference system (ANFIS).
提出一种新型的过热汽温控制方案，主控制器基于自适应神经网络模糊推理系统(ANFIS)进行设计。
Medical Diagnosis; Machine Learning; Back-Propagation Neural Network; Adaptive Neural Fuzzy Inference System.
医学诊断；机器学习；倒传递网路；适应性类神经模糊推论系统。
This paper presents a kind of fuzzy Controller using Neural Network for fuzzy inference the inputs and the outputs are fuzzy Set.
本文介绍了一种利用神经网络进行推理的模糊控制器。网络的输入和输出均为模糊集。
This paper presents a kind of fuzzy Controller using Neural Network for fuzzy inference the inputs and the outputs are fuzzy Set.
本文介绍了一种利用神经网络进行推理的模糊控制器。网络的输入和输出均为模糊集。
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