Neuro fuzzy system can be used in image de-noising problems.
实验表明模糊神经系统可以应用于图像去噪问题。
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).
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。
Motivated by the designing idea of conventional feedforward control, an adaptive feedback-feedforward control scheme based on neuro-fuzzy system is proposed.
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。
The intelligent control system consists of reference governor, neuro-fuzzy feedforward controllers, fuzzy feedback controllers and fossil-fuel power unit (FFPU).
该系统包括设定值调节器、神经网络模糊前馈控制器、模糊反馈控制器和单元机组。
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。
The control for speed limit on expressway is a nonlinear and time variable system, it is difficult to simulate with a mathematical model. A neuro-fuzzy network is proposed to solve the problem.
高速公路限速控制是一个非线性时变系统，难于用数学模型准确建模，提出一种模糊神经网络实现限速控制。
Simulation results show that the induction motor vector control system with adaptive neuro-fuzzy inference system can improve the static and dynamic performance of the motor and has good robust.
仿真实验结果表明，具有自适应神经网络的模糊推理系统控制的异步电机矢量控制系统不仅动态和稳态性能都得到提高，而且具有较强的鲁棒性。
The subsidence of the indoor model test is also predicted with this theory. The observed data are compared with the predicted data with the adaptive neuro-fuzzy inference system (ANFIS).
对室内模型试验进行沉降预测，并和实验观测数据以及自适应神经网络系统(ANFIS)预测结果进行了比较。
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。
This paper found the "good" dataset by using fuzzy clustering and fuzzy neuro-cluster data classification system, which can be used in the candidate selection.
本文研究了模糊聚类方法结合模糊神经分类系统，筛选出了好的数据记录，在优选压裂井时使用。
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。
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。
Recently, Neuro-fuzzy Control base on the Neural Network Theory and Fuzzy Logic System was used widely and successfully.
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。
An approach that can effectively solve the inherent highly nonlinear dynamics problem of magnetorheological (MR) damper is proposed by using adaptive neuro-fuzzy inference system (ANFIS) technique.
提出一种利用自适应神经模糊推理系统(ANF IS)技术有效解决磁流变(MR)阻尼器所固有的高度非线性动特性问题的方法。
An approach that can effectively solve the inherent highly nonlinear dynamics problem of magnetorheological (MR) damper is proposed by using adaptive neuro-fuzzy inference system (ANFIS) technique.
提出一种利用自适应神经模糊推理系统(ANF IS)技术有效解决磁流变(MR)阻尼器所固有的高度非线性动特性问题的方法。
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