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使用自适应神经模糊推理系统的方法预测时间序列-The use of Adaptive Neuro-Fuzzy Inference System for Prediction of Time Series
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Neuro-fuzzy synergism to the intelligent system for edge detection and enhancement
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dipapo over anfis ( adaptive neuro fuzzy inferaznce system) with optimisation algorithm
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recursive least square method for training neuro fuzzy system
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Dynamic Evolving Neuro-Fuzzy Inference System,
proposed by Song and Kasabov.
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经模糊系统经常被用来对非线性系统建模，并能取得很好的效果．UE和相似规则合并的神经模糊系统建模算法-Neuro-Fuzzy System Modeling with Density—Based Clustering
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摘要：为了减少先验知识对统一潮流控制器中模糊规则的设计和电力系统参数的变化对统一潮流控制器性能的影响， 文中采用模糊神经网络来设计统一潮流控制器-Abstract: In order to reduce a priori knowledge of the unified power flow controller in the fuzzy rules in the design and power system parameters on the unified power flow contr
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建立了自适应神经一直觉模糊推理系统，直觉模糊神经网络的函数逼近能力
-The establishment of adaptive neuro-fuzzy inference system intuitive, intuitive fuzzy neural network function approximation ability
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A looper tension control system is common to many rolling processes.Con ventional tension controllers for mill actuation systems
are based on a rolling model.The y therefore cannot deal effectively with unmodeled dynamics and large parameter variat
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Anfis-Fuzzy Logis-Adaptive Neuro-Fuzzy Inference System
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Neuro-Fuzzy Evolutionary Fuzzy System,Artificial Neural Networks,Biological Background,The Perceptron Model,The Multilayer Perceptron
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Adaptive Neuro-Fuzzy Inference System
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Adaptive Neuro-Fuzzy Inference System By Jang (ANFIS)
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本文提出一种新的智能故障诊断方法,基于统计分析,提出了一种改进的距离的评价技术和适应性类神经模糊推论系统(简称ANFIS)。该方法包括三个阶段。 -This paper presents a new approach to intelligent fault diagnosis based on statistics analysis, an improved distance evaluation
technique and adaptive neuro-fuzzy inference s
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基于自适应控制的模糊神经网络的仿真及其动态学习-Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference
System (ANFIS) for Mobile Learning
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APPLICATION OF ADAPTIVE NEURO FUZZY INFERENCE SYSTEM IN THE PROCESS OF TRANSPORTATION SUPPORT
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自适应神经模糊推理系统预测部分，包含预测误差与预测结果对比-Adaptive neuro-fuzzy inference system to predict section contains the prediction error and predicted results compare
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Abstract— Identifying exceptional students for
scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limite
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Adaptive neuro fuzzy inference system
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neuro-fuzzy network
this matlab code is prepared to be used for making neuro-fuzzy system.
you can use it for optimization
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