Neuro-fuzzy model
Developing a Neuro Fuzzy Model for Weather Prediction
... pure fuzzy logic based forecasting. In this study, a Neuro-fuzzy approach will be proposed to predict weather in Sadat region, western desert, ...proposed model uses a ...
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Lesion Segmentation in Dermoscopic Image Using Decision based Neuro Fuzzy Model
... Abstract— This paper presents a novel approach for segmentation based on Neuro-Fuzzy model using decision making. We know that segmentation is done based on some feature values of images. These ...
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Classification of MRI Brain Images Using Neuro Fuzzy Model
... hybrid Neuro- fuzzy classifier ...the neuro classifier and the fuzzy classifier and overcomes the demerits of both the ...hand fuzzy logic technique is more accurate but it fully ...
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Prediction of pathological stage in patients with prostate cancer: a neuro-fuzzy model
... Adaptive Neuro Fuzzy Inference System (ANFIS) to optimise the membership ...proposed neuro-fuzzy approach achieved an Area under the curve of ...proposed neuro-fuzzy model ...
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Evaluation of Environmental Hazard in Underground Mines Using Adaptive Neuro- Fuzzy Model
... and Neuro-Fuzzy model is carried out to define the optimal model for predicting the radiation levels of airborne radon and thoron in two Egyptian phosphate ...using Neuro-Fuzzy ...
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Prediction blood pressure parameter by using neuro-fuzzy model
... Blood pressure is the most often measured and intensively studied in medical and physiological practice because it is the valuable diagnostic aid to access the vascular condition of certain illnesses. As known that high ...
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NEURO FUZZY MODEL FOR FACE RECOGNITION WITH CURVELET BASED FEATURE IMAGE
... Neural network has been found as an efficient method among many biometric techniques. It has the method of reducing the search space. Some of the images in the database are used for training and the rest are used for ...
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A Neuro-Fuzzy Model for Predicting Students Performance in Object-Oriented Programming Courses
... use neuro-fuzzy model to evaluate the current performance of students and then predict the students’ performances in subsequent object oriented programming ...
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Eccentricity Estimation in Ultra-Precision Rotating Devices Based on a Neuro-Fuzzy Model
... a model based on frequency domain analysis combined with the use of hybrid artificial intelligence ...The model estimates information from a high-range of signal frequencies with high levels of uncertainty ...
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Comparative Analysis Of Neuro-Fuzzy Model For Human Resources
... Neuro Fuzzy designs focus on specific observations and enhance the effectiveness rating of decision ...Moreover, Neuro Fuzzy design doesn't call for a priori knowledge of weights for inputs ...
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A Neuro Fuzzy Model for QoS Based Selection of Web Service
... An ANFIS is a multi-layered feed forward network, in which each layer performs a particular task. The layers are characterized by the fuzzy operations they perform. Fig- ure 2 describes the global architecture of ...
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Fruit production forecasting by neuro-fuzzy techniques
... Abstract: Neuro-fuzzy techniques are finding a practical application in many fields such as in model identification and forecasting of linear and non-linear ...a neuro-fuzzy ...
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Portfolio Investment Model Using Neuro Fuzzy System
... the Neuro-Fuzzy technique that can handle non-linearity and uncertainty in the stock ...a Neuro–Fuzzy model using financial indicators which play a vital role in selection of ...This ...
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Comparison of autoregressive integrated moving average (ARIMA) model and adaptive neuro-fuzzy inference system (ANFIS) model
... Average model and artificial neural network model in fuzzy ...Average Model has the same prediction power as the neuro-fuzzy model or ...Classical model of moving ...
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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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The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System
... proposed Neuro Fuzzy model in MATLAB environment. The Fuzzy Inference Systems based model is presented with the parameter Normalized MTBF in Figure ...employed fuzzy IF-THEN ...
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Comparison of Fuzzy and Neuro Fuzzy Image Fusion Techniques and its Applications
... There are a large number of applications like medical imaging, video surveillance and remote sensing etc. that require images with both spatial and spectral resolution as well. In this paper, the potentials of image ...
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Neuro-Fuzzy Gait Generator for a Biped Robot-
... ABSTRACT: Condition monitoring systems using vibration measurements and supervised classifiers can be used to auto- mate the diagnosis process of rotating machines. In this paper, we describe an automatic diagnosis ...
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Neuro-Fuzzy Gait Generator for a Biped Robot-
... The neuro-fuzzy system uses the linguistic knowledge of fuzzy inference system and the learning capability of neural ...our fuzzy system has two inputs and one ...
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Neuro-Fuzzy Gait Generator for a Biped Robot-
... ABSTRACT: This research was carried out to design a hardware and a software of the GPS based on GSM network in order to evaluate the implemented system experimentally. The proposed GPS/GSM based system model ...
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