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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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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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Anfis-Fuzzy Logis-Adaptive Neuro-Fuzzy Inference System
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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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Power electronics plays an important role in controlling
the grid-connected renewable energy sources. This paper
presents a novel adaptive neuro-fuzzy control approach for
the renewable interfacing inverter. The main objective is to
achieve s
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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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MATLAB SOURCE CODE for Denoising of Ultra Sound signals using Adaptive Neuro fuzzy Inference System (ANFIS)
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Adaptive neuro fuzzy Inference system (ANFIS) for pattern recognition
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自适应神经模糊推理系统的可运行实例，注释清楚易懂(Operable examples of adaptive neuro-fuzzy inference system)
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1.elman神经网络对输入波形进行检测
2.设计具有3个神经元的Hopfield网络
3.建立自适应神经模糊推理系统对非线性函数进行逼近（正弦加滞后）
4.建立自适应神经模糊推理系统对非线性函数进行逼近（正弦多项式）
5.利用模糊C均值聚类方法将一类随机给定的三维数据分为三类(1.Detection of input waveform by elman neural network
2. design a Hopfield network with 3 neurons
3. est
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