Neuro Fuzzy
Image Denoising Using Adaptive Neuro-Fuzzy System
... generalized fuzzy inference system (GFIS) in noise image ...multi-layer neuro-fuzzy structure which combines both Mamdani model and TS fuzzy model to form a hybrid fuzzy ...
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Title: An Evolving Cascade Neuro-Fuzzy System for Data Stream Fuzzy Clustering
... An evolving cascade neuro-fuzzy system for online fuzzy clustering was proposed in this paper. Every node of each system‟s cascade solves the clustering task independently from others which makes it ...
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Spike discharge prediction based on neuro-fuzzy system
... neural fuzzy inference system (HyFIS) and subtractive clustering and fuzzy c-means (SBC) algorithms and section 3 presents the performance of different neuro- fuzzy algorithms for analysis of ...
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Neuro-Fuzzy Expert System For Diagnosis Of Thyroid Diseases
... The results of the system were computed using a range of default values in which each condition of a Thyroid disease falls within, the range of values for Hypothyroidism is from values less than 0.4 on a TSH test Scale ...
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Generation of Fuzzy Rules Based on Complex-valued Neuro-Fuzzy Learning Algorithm
... In the future, we want to show the effectiveness of the proposed method in the subject that can be represented by complex numbers such as image and audio data. The proposed method, by changing a part of it, can also use ...
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Effect of fuzzy partitioning in Crohn's disease classification: a neuro-fuzzy-based approach
... a neuro-fuzzy model are combined for diagnosing the ...using fuzzy partitioning and dimension ...the fuzzy partition to reach the optimal performance accuracy ...
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Image Restoration using Hybrid Neuro- Fuzzy Filter
... and fuzzy systems, to the problems in digital image processing. Indeed neuro-fuzzy (NF) systems offer the ability of neural networks to learn from examples and the capability of fuzzy systems ...
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Adaptive fuzzy & Neuro Fuzzy Inference controller based MPPT for photovoltaic systems
... adaptive neuro fuzzy inference controller is used to track the maximum power from the PV ...adaptive fuzzy logic ...adaptive neuro fuzzy to fulfill the requirement of needs of whole ...
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Neuro-Fuzzy approach for the predictions of economic crisis
... that Neuro-fuzzy approach is a very promising tool for forecasting crisis periods and can be used also for bankruptcies forecasts, financial distress models, and almost in any modeling in economics and ...
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Adaptive neuro-fuzzy control of an induction motor
... According to zero-order Sugeno method and all the variable membership function, a neuro-fuzzy controller have 72 rules, where these rules used to give appropriate output. The output of the ANFIS are crisp ...
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Fruit production forecasting by neuro-fuzzy techniques
... Neural Fuzzy Inference forecasting System (ANFIS) that it depended on previous year fruit ...suggested neuro-fuzzy model could be an efficient system of forecasting fruit production time ...
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A Neuro Fuzzy System for Modeling the Depression Data
... Depression is a psychological disorder, which, if untreated, may deteriorate the quality of one’s life. Therefore, to tackle it, its early screening and accurate grading are much needed. The success of soft computing ...
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Neuro fuzzy classification and detection technique for bioinformatics problems
... and fuzzy C means algorithms. Generally, the result based on fuzzy C means is better than sub clustering in most of the ...on Fuzzy C means is slower around ...error, fuzzy C means has much ...
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Comparison of Neuro fuzzy Models for Classification Fingerprint Images
... three neuro-fuzzy networks classifiers were obtained by querying each fuzzy-neural classifier using the test set, and comparing known class labels against the classifier ...
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Portfolio Investment Model Using Neuro Fuzzy System
... Therefore, it is significant for investors to estimate the stock price and selecting the trading chance accurately in advance, which will bring high return to stockholders. In this paper we are trying to address this ...
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Adaptive Neuro-Fuzzy Models for Conventional Coplanar Waveguides
... adaptive neuro-fuzzy inference system (ANFIS) was successfully introduced to determine the characteristic parameters, effective permittivities and characteristic impedances, of conventional coplanar ...of ...
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A Neuro-Fuzzy System For Diagnosis of Soya-Beans Diseases
... a neuro-fuzzy system will be built with MATLAB version 8 with 100 rules on five input parameters as linguistic variables or symptoms into the system to determine the disease type either as fungi or bacteria ...
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Adaptive Neuro Fuzzy Expert System for Diagnosing HIV
... Adaptive Neuro-Fuzzy Expert System for Diagnosing HIV has been ...Adaptive Neuro diagnostic fuzzy logic system to help in the diagnosis of HIV using a set of symptoms and demonstrates the ...
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Neuro-Fuzzy Network for Equalization of Different Channel Models
... This paper is organized as follows. In Section II we describe the channel equalization model. Section III describes the general procedure of Adaptive Neuro-Fuzzy Inference System (ANFIS) and the adaptation ...
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Neuro-Fuzzy systems for Automatic Temperature Drying Aggregate
... of neuro- fuzzy control system temperature mode drying ...of neuro-fuzzy controller and fuzzy automatic temperature control of the drying process of raw cotton, which is invariant to ...
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