本文提出了基于增量学习神经模糊网络机动目标跟踪模型。
The scheme of tracking maneuvering target based on neural fuzzy network with increased leaning is proposed.
采用自适应神经模糊推理系统，对控制器的参数进行优化。
The problem of rule explosion in FNN controller is solved for multi-variable systems.
近年来，基于神经网络和模糊逻辑的神经模糊控制得到了广泛的应用。
Recently, Neuro-fuzzy Control base on the Neural Network Theory and Fuzzy Logic System was used widely and successfully.
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。
Medical Diagnosis; Machine Learning; Back-Propagation Neural Network; Adaptive Neural Fuzzy Inference System.
使用减法聚类和自适应神经模糊网络方法设计了一种水下机器人运动规划器。
Using the methods of subtraction clustering and auto-adapted nerve fuzzy network, a sort of motion planner for the underwater vehicle is designed.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
提出了一种综合考虑了训练误差和检验误差的评价神经模糊模型性能的误差性能指标。
A performance index of error was presented. This index is a kind of evaluation of neural fuzzy model performance and synthetically considered training error and checking error of NFS.
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).
主要介绍控制系统的构成、信息识别方法、神经模糊控制器设计及其在实际中的应用结果。
This paper introduces the constitution of the system, methods of information recognition, the design of the neural-fuzzy controller and the practical application.
针对一类基于模糊感知器的神经模糊分类器，分析了隶属函数限制条件对分类结果的影响。
For a neuro_fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result.
本文具体介绍了模糊控制、神经网络控制和神经模糊控制在DC - DC变换器中的应用。
This paper presents concretely the applications of fuzzy control, neural network control and neural-fuzzy control in DC-DC converters.
在前馈控制器设计思想的启发下，提出了一种基于神经模糊系统的自适应前馈-反馈控制系统。
Motivated by the designing idea of conventional feedforward control, an adaptive feedback-feedforward control scheme based on neuro-fuzzy system is proposed.
根据自适应神经模糊推理系统原理，设计两个模糊系统分别逼近磁流变阻尼器的正模型和逆模型。
Then two different fuzzy systems are designed to approximate the direct model and the inverse one on the basis of adaptive neuro-fuzzy inference system(ANFIS).
在海上交通工程学的最新研究成果的基础上，提出了用一种神经模糊系统计算船舶碰撞危险度的方法。
On the basis of the latest research result of Marine traffic engineering, a neural fuzzy system was introduced to calculate the value of vessel collision risk degree.
对ANFIS训练及检验的结果表明，该自适应神经模糊控制器具有较高的控制精度，控制效果较好。
By training and checking of ANFIS, the results prove that the adaptive neuro-fuzzy controller owns high precision and good effect of controlling.
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 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.
在海上交通工程学的最新研究成果的基础上 ，提出了用一种神经模糊系统计算船舶碰撞危险度的方法 。
On basis of developed results of this system, this paper discusses the evaluation of the risk of collision (ROC) integrating multi-encountered ships.
通过对ANFIS的训练及检验，结果表明，该自适应神经模糊控制器具有较高的控制精度，控制效果较好。
By training and checking of ANFIS, the results prove that the adaptive neuro-fuzzy controller has high precision and good effect of controlling.
作为一种局部逼近方法，自适应神经模糊推理系统(ANFIS)适于为药物定量构效关系(QSAR)建模。
Adaptive neural fuzzy inference system (ANFIS), as a local approximation approach, could be used to model the quantitative structure-activity relationship (QSAR) of medicine.
针对具有高度非线性特性的连续搅拌反应釜(CSTR)控制过程，研究了基于神经模糊模型的预测控制策略。
In this paper, a predictive control strategy based on neuro-fuzzy model is applied to Continuous Stirred Tank Reactor (CSTR) process, which has characteristic of highly nonlinearity.
用小波分解和自适应神经模糊推理系统(ANFIS)相结合的方法，建立了赤道东太平洋海温的集成预报模型。
Based on the method of wavelet decomposition combining with ANFIS, a compositive prediction model of the equatorial east Pacific sea surface temperature anomaly (SSTa) was established.
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 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.
首次提出了采用自适应神经模糊推理系统(ANFIS)建立全局负荷模型，描述电力负荷的非线性、变结构特性。
ANFIS (Adaptive Neural Fuzzy Inference System) is first presented to obtain the global load model for describing the nonlinear characteristics of the electric load in the paper.
本文介绍了自适应神经模糊网络控制系统的结构，并在此基础上重点介绍了自适应神经模糊系统及其MATLAB实现。
This text has introduced the structure of the fuzzy network control system of adaptive nerve, and has recommended especially fuzzy system and MATLAB of the adaptive nerve are realized on this basis.
针对目前制导炸弹命中精度低的问题，提出一种基于自适应神经模糊推理系统(ANFIS)的制导炸弹智能控制系统。
Aiming at the problem of guided bombs in low precision, this paper presents a kind of intelligence control system of guided bomb based on Adaptive Neuro-Fuzzy Inference system (ANFIS).
针对锌钡白干燥煅烧过程建模难的问题，提出了一种基于TS模型的自适应神经模糊推理系统(ANFIS)建模方法。
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.
针对船舶航向控制中模型参数变化引起的不确定性问题，提出一种基于动态神经模糊模型(DNFM)的自适应控制算法。
A dynamic neural fuzzy model (DNFM) based adaptive control algorithm for ship course control was developed to overcome uncertainties arising from changes of model parameters.
同时基于自适应神经模糊推理系统建立了岩体力学参数与边坡抗滑力和下滑力的映射模型，分析得到抗滑力和下滑力的统计特征。
The model is used to perform the numerical simulation of slope stable state, to acquire the data for adaptive neuro-fuzzy inference system(ANFIS) analysis.
同时基于自适应神经模糊推理系统建立了岩体力学参数与边坡抗滑力和下滑力的映射模型，分析得到抗滑力和下滑力的统计特征。
The model is used to perform the numerical simulation of slope stable state, to acquire the data for adaptive neuro-fuzzy inference system(ANFIS) analysis.
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