模糊自适应推理网络,CANFIS英语短句,例句大全

模糊自适应推理网络,CANFIS
1)CANFIS模糊自适应推理网络
1.In order to overcome coupling effect of aero-engine\'s control loop,a general predictive decoupling controller based on coactive adaptive network-based fuzzy inference system(CANFIS) is designed for aero-engine distributed control system with long uncertain time-delay.利用发动机非线性模型的输入输出数据对模糊自适应推理网络进行离线训练,网络的前提参数训练后固定,后件参数则可在线调整以使网络能更好地逼近实际系统。
2)ANFI自适应网络模糊推理
1.The paper used the Adaptive-Network-based Fuzzy Inference (ANFI) to do the water consumption forecast, it not only can avoid directly inspecting the interaction between the factors and quantity, but also reduce the data random noise and improve accuracy.在此基础之上,采用自适应网络模糊推理进行预测,不仅避免直接考察所有条件因素间的相互影响和数量关系,也可以减少数据随机因素干扰,提高预测准确性。
3)ANFIS自适应神经网络模糊推理系统
1.Adequate datas used to train fuzzy rules and membership function in the BP neural network are obtained by means of LQR algorithm,then ANFIS controller is designed,in the end,a building is taken as the example to simulink under El Centro earthquake,the results shows that ANFIS is efficient in the structural active control.运用线性二次型经典最优控制算法获得学习样本,由神经网络反向传播算法训练产生模糊规则和隶属度函数,设计自适应神经网络模糊控制器,通过某结构地震波作用下振动控制的数字仿真,表明自适应神经网络模糊推理系统可以有效地应用到结构控制中。
2.Adaptive Neuro-Fuzzy Inference System(ANFIS) is a neural network system with one input and several outputs, which is got through achieving one step sugeno fuzzy system by the format of network.自适应神经网络模糊推理系统(AdaptiveNeuro FuzzyInferenceSystem, ANFIS)是将Sugeno一阶模糊系统以网络的形式来实现而得到的一种多输入单输出的神经网络。
3.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。
4)ANFIS自适应网络模糊推理系统
1.The structure of ANFIS and the theory of noise canceling are described.对自适应网络模糊推理系统(ANFIS)在噪声抵消中的应用进行了研究。
2.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。
5)adaptive neural network-based fuzzy inference system自适应神经网络的模糊推理系统
1.Based on captured objective input-output data couple, a new ANFIS (adaptive neural network-based fuzzy inference system) framework, which can construct fuzzy membership function and fuzzy rules in Takagi-Sugeno fuzzy model, is used to model and control the complex inverted.该种方法采用BP算法与梯度下降法结合的混合算法对Takagi-Sugeno模糊模型中的前项及后件参数进行优化修正,在已获得的客观输入输出数据对的基础上,提出一种基于自适应神经网络的模糊推理系统ANFIS来对倒立摆系统进行建模和控制。
6)adaptive neural network-fuzzy inference自适应神经网络模糊推理
1.fuzzy inference reasoning based AKF (FIR-AKF), neural network based AKF (NN-AKF) and adaptive neural network-fuzzy inference system based AKF (ANFIS-AKF), are chosen specially and studied.对模糊控制自适应算法(FIR AKF)、神经网络自适应算法(NN AKF)和自适应神经网络模糊推理自适应算法(ANFIS AKF)进行了分析。

英文短句/例句

1.Application of adaptive network-based fuzzy inference system for load forecasting基于自适应神经网络模糊推理的负荷预测
2.Application of Adaptive Network-based Fuzzy Inference System for Medium and Long-term Load Forecasting;自适应神经网络模糊推理在中长期电力负荷预测中的应用
3.Financial Analysis:A Comparison of Pattern-transformed BP Neural Networks and Pattern-transformed Adaptive Neuro-Fuzzy Inference System(ANFIS);财务分析:模式识别下的BP网络与自适应神经模糊推理比较研究
4.Adaptive Backstepping Fuzzy/Neural Networks Control of MIMO Nonlinear Systems;基于模糊/神经网络的非线性MIMO自适应反推控制
5.Research on performance evaluation of computer network based on adaptive neural-fuzzy inference基于自适应神经模糊推理的计算机网络性能评价研究
6.Study on Adaptive Control Based on Fuzzy-Neural Networks;基于模糊神经网络的自适应控制研究
7.Comparative Studies of Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System Based Approach for the Circular Sliding Slopes Stability Analysis;圆弧滑动边坡稳定性分析神经网络方法和自适应神经模糊推理方法的比较研究
8.Studies on Adaptive Fuzzy Neural Network Based on Fuzzy Clustering Algorithm;基于模糊聚类算法的自适应模糊神经网络研究
9.Adaptive Neuro-fuzzy Reasoning Based on Weighted Fuzzy Rules;基于加权模糊规则的自适应神经—模糊推理
10.A Self-Learning Multivariable Adaptive Controller Based on Fuzzy Logic Neural Network一种自学习模糊神经网络多变量自适应控制器
11.Research on Adaptive Neuron-Fuzzy Control for Self-balancing Two-wheeled Vehicle两轮自平衡小车自适应神经网络模糊控制研究
12.Common model adaptive control based on fuzzy neural network基于模糊神经网络的通用模型自适应控制
13.Based on the Optimization of Adaptive Fuzzy Neural Network Control in Sewage Treatment基于参数优化的自适应模糊神经网络控制在污水处理中的应用
14.Application of Adaptive Fuzzy Artificial Neural Network to Observational Data Analysis of Dams自适应模糊神经网络在大坝安全监控中的应用
15.Flatness Pattern Recognition Based on Adaptive Neuro-Fuzzy Inference System基于自适应神经模糊推理系统的板形模式识别
16.Modeling of gyroscope based on adaptive neuro-fuzzy inference system基于自适应神经模糊推理系统的陀螺建模方法
17.Study on Vehicle Following Model Based on Adaptive Neural-fuzzy Inference System基于自适应神经模糊推理系统的跟驰模型研究
18.Application of neural network and fuzzy logic integration system to fault diagnosis of flood gate integrated automation神经网络-模糊推理协作系统在闸门综合自动化故障诊断中的应用

相关短句/例句

ANFI自适应网络模糊推理
1.The paper used the Adaptive-Network-based Fuzzy Inference (ANFI) to do the water consumption forecast, it not only can avoid directly inspecting the interaction between the factors and quantity, but also reduce the data random noise and improve accuracy.在此基础之上,采用自适应网络模糊推理进行预测,不仅避免直接考察所有条件因素间的相互影响和数量关系,也可以减少数据随机因素干扰,提高预测准确性。
3)ANFIS自适应神经网络模糊推理系统
1.Adequate datas used to train fuzzy rules and membership function in the BP neural network are obtained by means of LQR algorithm,then ANFIS controller is designed,in the end,a building is taken as the example to simulink under El Centro earthquake,the results shows that ANFIS is efficient in the structural active control.运用线性二次型经典最优控制算法获得学习样本,由神经网络反向传播算法训练产生模糊规则和隶属度函数,设计自适应神经网络模糊控制器,通过某结构地震波作用下振动控制的数字仿真,表明自适应神经网络模糊推理系统可以有效地应用到结构控制中。
2.Adaptive Neuro-Fuzzy Inference System(ANFIS) is a neural network system with one input and several outputs, which is got through achieving one step sugeno fuzzy system by the format of network.自适应神经网络模糊推理系统(AdaptiveNeuro FuzzyInferenceSystem, ANFIS)是将Sugeno一阶模糊系统以网络的形式来实现而得到的一种多输入单输出的神经网络。
3.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。
4)ANFIS自适应网络模糊推理系统
1.The structure of ANFIS and the theory of noise canceling are described.对自适应网络模糊推理系统(ANFIS)在噪声抵消中的应用进行了研究。
2.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。
5)adaptive neural network-based fuzzy inference system自适应神经网络的模糊推理系统
1.Based on captured objective input-output data couple, a new ANFIS (adaptive neural network-based fuzzy inference system) framework, which can construct fuzzy membership function and fuzzy rules in Takagi-Sugeno fuzzy model, is used to model and control the complex inverted.该种方法采用BP算法与梯度下降法结合的混合算法对Takagi-Sugeno模糊模型中的前项及后件参数进行优化修正,在已获得的客观输入输出数据对的基础上,提出一种基于自适应神经网络的模糊推理系统ANFIS来对倒立摆系统进行建模和控制。
6)adaptive neural network-fuzzy inference自适应神经网络模糊推理
1.fuzzy inference reasoning based AKF (FIR-AKF), neural network based AKF (NN-AKF) and adaptive neural network-fuzzy inference system based AKF (ANFIS-AKF), are chosen specially and studied.对模糊控制自适应算法(FIR AKF)、神经网络自适应算法(NN AKF)和自适应神经网络模糊推理自适应算法(ANFIS AKF)进行了分析。