Search - neuro fuzzy anfis

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[Software Engineering] Adaptive_Neuro_Fuzzy_Inference_System DL : 0: dipapo over anfis ( adaptive neuro fuzzy inferaznce system) with optimisation algorithm
Date : 2025-07-16 Size : 259kb User : samo
[matlab] ANFIS-Fuzzy-Inference-System-Using-Commands-in-M- DL : 0: Anfis-Fuzzy Logis-Adaptive Neuro-Fuzzy Inference System
Date : 2025-07-16 Size : 542kb User : erdem
[AI-NN-PR] anfis-93 DL : 0: Adaptive Neuro-Fuzzy Inference System
Date : 2025-07-16 Size : 1.42mb User : Amir
[matlab] Anfis-By-jang DL : 0: Adaptive Neuro-Fuzzy Inference System By Jang (ANFIS)
Date : 2025-07-16 Size : 53kb User : maysam
[matlab] A-new-approach--diagnosis- DL : 0: 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 system (ANFIS). The approach consists of three stages. First, different features, including time-domain statistical characteristics, frequency-domain statistical characteristics and empirical mode decomposition (EMD) energy
Date : 2025-07-16 Size : 172kb User : 张力
[matlab] ANFIS_2_class DL : 0: ANFIS: Adaptive Neuro-Fuzzy Inference Systems
Date : 2025-07-16 Size : 1kb User : melek
[AI-NN-PR] Fuzzy-Neural-Network-by-matlab DL : 0: 这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy network trained exclusively by error backpropagation at layers 2 and 4. The network employs 4 sets of adjustable parameters. In Layer 2: mean[i,j], sigma[i,j] and Theta[i,j] and in Layer 4: Weights w4[m,j]. The network uses considerably less adjustable parameters than ANFIS/CANFIS and therefore, its training is generally faster. This makes it ideal for on-line learning/operation. Also, its approximating/mapping power is increased due to the employment of dynamic elements within Layer 2. Scatter-type and Grid-type methods are selected for input space partitioning.
Date : 2025-07-16 Size : 115kb User : 林真天
[File Format] ANFIS DL : 0: 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
Date : 2025-07-16 Size : 1.12mb User : zhangzhenlin
[Software Engineering] APJOR-article-ANFIS DL : 0: APPLICATION OF ADAPTIVE NEURO FUZZY INFERENCE SYSTEM IN THE PROCESS OF TRANSPORTATION SUPPORT
Date : 2025-07-16 Size : 750kb User : Dragan
[Software Engineering] ESWA-ANFIS DL : 0: Decision support model for prioritizing railway level crossings for safety improvements: Application of adaptive neuro-fuzzy system
Date : 2025-07-16 Size : 550kb User : Dragan
[AI-NN-PR] Students-classification-with-adaptive-neuro-fuzzy DL : 0: 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 limited tutoring resources. In this article, we have tried to design an intelligent system which can separate and classify student according to learning factor and performance. a system is proposed through Lvq networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive fuzzy neural network(anfis) has less error and can be used as an effective alternative system for classifying students. -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 limited tutoring resources. In this article, we have tried to design an intelligent system which can separate and classify student according to learning factor and performance. a system is proposed through Lvq networks methods, anfis method to separate these student on learning factor . In our proposed system, adaptive fuzzy neural network(anfis) has less error and can be used as an effective alternative system for classifying students.
Date : 2025-07-16 Size : 292kb User : Nguyen Anh Tuan
[Software Engineering] Anfis DL : 0: Adaptive neuro fuzzy inference system
Date : 2025-07-16 Size : 19kb User : saeed
[Software Engineering] neural-network---fuzzy--anfis DL : 0: neural network - fuzzy- anfis - neuro fuzzy
Date : 2025-07-16 Size : 403kb User : Nitromira
[matlab] ANFIS-in-eolic-central DL : 0: neuro fuzzy networks , application examples with ANFIS tool in predicting the amount of energy that can generate a power plant
Date : 2025-07-16 Size : 5kb User : Cbasmaximo
[matlab] ANFIS-time-series DL : 0: Neuro fuzzy logic for forecasting and prediction
Date : 2025-07-16 Size : 6kb User : koukou
[matlab] anfis(command-program) DL : 0: It is Adoptive Neuro Fuzzy(ANFIS) program written in Matlab Software.
Date : 2025-07-16 Size : 1kb User : kaveh
[Other] ANFIS Adaptive Neuro-Fuzzy Inference Systems DL : 0: paper of anfis, the original
Date : 2025-07-16 Size : 407kb User : mmm2
[Other] Neuro-Fuzzy Systems A Survey DL : 0: lesson anfis, very good
Date : 2025-07-16 Size : 258kb User : mmm2
[matlab] ANFIS algorithm DL : 1: 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)
Date : 2025-07-16 Size : 12kb User : kikyou0930
[matlab] Neuro-Fuzzy-master DL : 1: 模糊神经网络的实现用于控制，优化等自动领域(Algoritmo de inferencia difusa ANFIS Takagi-sugeno)
Date : 2025-07-16 Size : 47.56mb User : JimmyIR

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