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[PDF] Top 20 Implementation of Neuro Fuzzy System for Diagnosis of Multiple Sclerosis

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Implementation of Neuro Fuzzy System for Diagnosis
of Multiple Sclerosis

Implementation of Neuro Fuzzy System for Diagnosis of Multiple Sclerosis

... Multiple Sclerosis is an unpredictable clinical period that had been detected in white women more. It starts in 20 to 40 years old person but it may happen in any age. This chronic disease starts with ... See full document

8

A Neuro-Fuzzy Based Intelligent System For Diagnosis Of Renal Cancer

A Neuro-Fuzzy Based Intelligent System For Diagnosis Of Renal Cancer

... diagnostic system for the diagnose of renal cancer by using adaptive neuro-fuzzy inference system has been ...diagnostic system can be used as a supportive tool for the expertise or ... See full document

7

Adaptive Neuro Fuzzy Inference System for Fault Diagnosis of Feed Pump

Adaptive Neuro Fuzzy Inference System for Fault Diagnosis of Feed Pump

... using multiple layer feed forward back propagation Marquardt ...for diagnosis and quantification of ...intelligent system is one which combines at least two intelligent ...and Fuzzy Logic ... See full document

9

Implementation of an intelligent 
		temperature to voltage converter using Adaptive Neuro Fuzzy Inference 
		System

Implementation of an intelligent temperature to voltage converter using Adaptive Neuro Fuzzy Inference System

... General methods like numerical methods can be utilized for the linearization of the sensor. Numerical methods are not advisable as a separate look up table is needed for each sensor based on its characteristic value and ... See full document

7

Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference  Systems (ANFIS) Approaches

Automatic Heart Disease Diagnosis System Based on Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference Systems (ANFIS) Approaches

... disease diagnosis system is MATLAB, which is a powerful language for data analysis and ...MATLAB implementation, all data is the form of matrices ... See full document

11

A Review of Techniques to Mitigate Sybil Attacks

A Review of Techniques to Mitigate Sybil Attacks

... disease, Multiple Sclerosis and Muscular Dystrophy and diagnose them with the help of the expert ...Expert System for Diagnosis of Neuromuscular Disorders has a graphical user interface where ... See full document

5

Optimization of functional Spirulina cookies on their sensory attributes

Optimization of functional Spirulina cookies on their sensory attributes

... suspension system is to isolate a vehicle body from road irregularities in order to maximize passenger ride comfort and retain continuous road wheel contact in order to provide road holding (Lin and ... See full document

10

An update of teriflunomide for treatment of multiple sclerosis

An update of teriflunomide for treatment of multiple sclerosis

... The Teriflunomide Multiple Sclerosis Oral (TEMSO) trial was the first Phase III clinical trial assessing the efficacy of teriflunomide in MS patients. TEMSO was a multicenter, randomized, ... See full document

14

The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System

The Implementation And Automation Of Software Reliability Assessment Model Using Neuro Fuzzy System

... The preliminary prediction of Software Reliability prediction using Neural Network Based Systems and the comparison of Software Reliability Assessment Methods [20] with Neuro Fuzzy Based Systems [6][7][9] ... See full document

21

Implementation of Four Leg PV Inverter with Adaptive Neuro Fuzzy Interface System

Implementation of Four Leg PV Inverter with Adaptive Neuro Fuzzy Interface System

... generation system is presented in ...generation system under voltage power quality disturbances is shown in [12]- ...functional system is presented in ... See full document

10

Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

Utilization of new computational intelligence methods to estimate daily Evapotranspiration of wheat using Gamma pre processing

... adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and adaptive neuro-fuzzy inference-wavelet (ANFIS-Wavelet) were applied in to estimate wheat crop ... See full document

12

Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy Inference System (ANFIS) Approach

Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy Inference System (ANFIS) Approach

... Fuzzy inference systems are composed of five func- tional blocks as given in Figure 3. These are 1) a rule base containing a number of if-then rules 2) a database which defines the membership function, 3) a ... See full document

9

Adaptive Neuro-Fuzzy System for Cancer

Adaptive Neuro-Fuzzy System for Cancer

... Adaptive Neuro fuzzy Inference System in classification of the stages of cancer was examined in this research ...network system. The classification problem of diagnosis of cancer stages ... See full document

5

Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives

Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives

... The fuzzy neural network is constructed to merge fuzzy inference mechanism and neural networks into an integrated system so that their individual weaknesses are ...ANFIS system determines a ... See full document

9

The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models

The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models

... the fuzzy logic based system in the form of parallel ...cooperative neuro-fuzzy architectures, the neural networks and fuzzy logic system work ...the fuzzy system ... See full document

6

Implementation of Robotic System Using Speech Recognition Technique based on Neuro-Fuzzy Controller

Implementation of Robotic System Using Speech Recognition Technique based on Neuro-Fuzzy Controller

... The aim of this paper is to study the develop a voice driven control robot using artificial intelligence and speech recognition method, where the motors are going to be voice driven. Then the action can be taken based on ... See full document

9

The use of natalizumab for multiple sclerosis

The use of natalizumab for multiple sclerosis

... randomly assigned to receive natalizumab 300 mg intra- venously every 4 weeks or placebo infusion. At 1 year, the primary outcome was annualized relapse rate (ARR), and at 2 years, the primary outcome was the cumulative ... See full document

12

Alemtuzumab for the treatment of multiple sclerosis

Alemtuzumab for the treatment of multiple sclerosis

... Abstract: Alemtuzumab is an anti-CD52 monoclonal antibody, recently approved for the treatment of active, relapsing multiple sclerosis (MS). Administration of alemtuzumab causes a rapid and dramatic ... See full document

10

Emerging therapies for treatment of multiple sclerosis

Emerging therapies for treatment of multiple sclerosis

... Abstract: In the last decade, a new armamentarium of immune-based therapies have been developed and tested in patients with multiple sclerosis. Some of these therapies are showing a high level of efficacy, ... See full document

7

The Computerized Simulation of the Neuro-fuzzy System for Recognizing the Parameters of the Geographically Distributed Systems Equipment

The Computerized Simulation of the Neuro-fuzzy System for Recognizing the Parameters of the Geographically Distributed Systems Equipment

... Optimization of parameters of ground station of satellite communication system. European Science and Technology: In the Proceedings of the VII international research and practice conference, Vol. II, Munich, April ... See full document

5

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