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.
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.
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.
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.
将模糊数学、神经网络方法及灰色系统理论有机地结合起来，应用于金山金矿采矿方法选择中是一次新的尝试。
The combined use of fuzzy mathematics, neural net method and gray system theory in the selection of mining method for Jinshan gold mine was a new trial.
本文提出了一种基于模糊神经变结构控制的交流伺服系统。
This paper presents an AC servo system based on fuzzy neural variable structure control.
本文分析了原有的DGA故障诊断方法，包括三比值法、人工神经网络法、模糊理论、变压器诊断专家系统、灰色关联算法等。
The article analyses original methods of DGA fault diagnose, include three-ratio method, artificial neural network method, Fuzzy Theory, diagnosing expert system, grey relational algorithm, et.
提出利用直接自适应模糊神经网络控制一类不确定非线性混沌系统新方法。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
本文介绍了一种基于模糊神经网络的智能型火灾报警系统。
This Paper discusses an intelligent fire alarm system based on fuzzy neural network.
基于模糊神经网络算法研究了非线性系统的噪声消除问题，设计了一类非线性自适应逆噪声消除控制器。
Based on Fuzzy Neural Network, the noise canceling problem of the nonlinear system was studied. A type of nonlinear adaptive noise controller was proposed.
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.
根据电液伺服系统的故障特点，本文提出了采用模糊神经网络做在线辨识器的容错控制方案。
According to fault characteristic of the electro hydraulic servo system, this paper has proposed a fault tolerant project that USES the fuzzy neural network as an identifier on-line.
提出并实现了两种类型的模糊神经网络用于电子鼻系统的定量识别。
Two kinds of fuzzy neural network models' application to the quantitative analysis in an electronic nose system are put forward and realized.
该系统具有神经网络的结构和学习算法，称模糊神经网络FNN。
This system, possesses the structure of neural net and learning algorithm, addressed as fuzzy neural net FNN.
模糊认知图作为一种模糊逻辑和神经网络相结合的产物，为复杂系统建模提供了一种有效工具。
Fuzzy cognitive maps as a soft computing method, which combines the synergistic fuzzy logic and theories of neural networks provides a powerful tool for the complex system modeling.
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.
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.
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.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
本文提出了专家系统和模糊理论应用到神经网络的容差模拟电路故障诊断方法，尤其对容差电路的软故障诊断做了重点阐述。
This paper presents a new approach of fault diagnosis for tolerance analog circuit, and especially expounds the soft fault diagnosis in tolerance analog circuit.
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).
当获得了足够的数据后，通过自适应神经网络模糊系统ANFIS来训练产生隶属度函数和模糊规则，即产生模糊控制器。
When obtaining plenty data, self-adapt neural network fuzzy control system ANFIS come into being subjection degree function and fuzzy rule, namely come into being fuzzy controller.
自适应神经网络模糊推理系统(ANFIS)能基于数据建模，无须专家经验，自动产生模糊规则和调整隶属度函数。
Applying Adaptive Neural-Fuzzy Inference System (ANFIS) can produce fuzzy rules and adjust membership functions automatically based on data without experience of experts.
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。
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.
实验表明模糊神经系统可以应用于图像去噪问题。
Neuro fuzzy system can be used in image de-noising problems.
其次，本文对结合模糊专家系统和模糊神经网络来选择教学方法进行了深入探讨。
Secondly, we make a thorough study of teaching method selection that combines the fuzzy expert system and fuzzy neural networks.
提出了一种利用神经网络和模糊系统理论设计船舶火灾报警系统的方法。
In this paper, a ship fire alarm system is designed using fuzzy system theory and neural network.
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。
This paper presents a predictive coding model based on adaptive neuro-fuzzy inference system (ANFIS).
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