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input-output membership functions

A Fuzzy Logic based Handwritten Numeral Recognition System

A Fuzzy Logic based Handwritten Numeral Recognition System

... the input variable vector [13 –13 00 –00 12 14], where (13) refer that the input variable T1 is 13 (T1 = 13), (-13) refer that the input variable T2 is –13 (T2 = -13), (00) refer that the ...

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Designing and simulating of soft computing method oriented on fuzzy logic systems

Designing and simulating of soft computing method oriented on fuzzy logic systems

... the input membership esteem as weighting components to focus their impact on the fuzzy output sets of the final output ...the functions are constructed, scaled, and consolidated they ...

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Line and wall follower hexapod robot

Line and wall follower hexapod robot

... robot modelling in figure 3.5. There are 4 major sections in the wall following modelling which are parameter calculation block, fuzzy controller block, robot response block and feedback block. Parameter calculation ...

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Implementation Of Fuzzy Controller For Diagonse Of Patient Heart Disease

Implementation Of Fuzzy Controller For Diagonse Of Patient Heart Disease

... Fuzzy Expert System for Heart Disease Diagnosis designed with follow membership functions, input variables, output variables and rule base. Designed system has been tested with expert-doctor. ...

5

A Proposed Grinding and Mixing System using Fuzzy Time Control Discrete Event Model for Industrial Applications

A Proposed Grinding and Mixing System using Fuzzy Time Control Discrete Event Model for Industrial Applications

... fuzzy input variables to the ...each input variable for inference kernel connected with knowledge ...and, output membership functions; for output variables strength and ...

6

Design and analysis of experiments in ANFIS modeling for stock price prediction   Pages 409-418
		 Download PDF

Design and analysis of experiments in ANFIS modeling for stock price prediction Pages 409-418 Download PDF

... the output variable. The second one is to determine the most relevant input variables with a myopic neighborhood search ...the output membership degrees into the already selected significant ...

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Development of an Expert System on Failures of Hydraulic Cylinder using Fuzzy Logic

Development of an Expert System on Failures of Hydraulic Cylinder using Fuzzy Logic

... triangular membership functions were used for the input process parameters such as operating pressure, flow rate and operating temperature to predict output of the hydraulic cylinder ...The ...

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Design And Realization Of Fuzzy Logic Control For Ebb And Flow Hydroponic System

Design And Realization Of Fuzzy Logic Control For Ebb And Flow Hydroponic System

... Condition input variable also contains four membership functions, ...Speed output variable also contains four membership functions, ...the input variables (IV) and ...

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Online Full Text

Online Full Text

... Abstract— Asthma is a chronic inflammatory lung disease. Globally Asthma is major public health problem due to its incurable nature and misdiagnosis. In this research paper our work is concerned with the intelligent ...

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Implementation of an interpretable inverse 
		fuzzy control on microcontroller (DC motor case study)

Implementation of an interpretable inverse fuzzy control on microcontroller (DC motor case study)

... of membership functions of input variables, rule base, logic operators, shape and distribution of consequents, ...experimental input and output data ...

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Artificially Intelligent Primary Medical Aid for Patients Residing in Remote areas using Fuzzy Logic

Artificially Intelligent Primary Medical Aid for Patients Residing in Remote areas using Fuzzy Logic

... The output of a fuzzy controller is borrowed from fuzzifications of both inputs and outputs using the identify membership ...crisp input will be transformed to the different members of the identity ...

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Recognition and Cure Time Prediction of Swine Flu, Dengue and Chicken Pox using Fuzzy Logic

Recognition and Cure Time Prediction of Swine Flu, Dengue and Chicken Pox using Fuzzy Logic

... following membership functions, input variables, output variables and rule base that are used in a fuzzy expert system to diagnose the heart ...six input variables and output ...

5

Speed Control of Smart Car using Fuzzy Logic Controller

Speed Control of Smart Car using Fuzzy Logic Controller

... an input stage, a processing stage, and an output stage. The input stage maps sensor or other inputs, such as switches, thumbwheels, and so on, to the appropriate membership functions ...

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RESEARCH FOR PRODUCTIVITY CONTROL ACCESSMENT, APPLIED TO THE COMPARATIVE ANALYSIS OF PID & FUZZY CONTROLLERS IN PROCESS INDUSTRYPrince Munjal, Sirdeep Singh

RESEARCH FOR PRODUCTIVITY CONTROL ACCESSMENT, APPLIED TO THE COMPARATIVE ANALYSIS OF PID & FUZZY CONTROLLERS IN PROCESS INDUSTRYPrince Munjal, Sirdeep Singh

... fuzzy output response with lesser ...of membership functions from 5 to 7 for error ...6 membership functions for change in error input, from 5 to 9 membership ...

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Image Enhancement using Hybrid Fuzzy Inference System (IEHFS)

Image Enhancement using Hybrid Fuzzy Inference System (IEHFS)

... IMAGE ENHANCEMENT USING HYBRID FUZZY INFERENCE SYSTEM IEHFS Fuzzy inference maps the given input to the desired output using fuzzy logic by using membership functions, logical.. No Take [r] ...

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Multiple Input Multiple Output Antenna Design

Multiple Input Multiple Output Antenna Design

... After 2001 there is tremendous advancement in remote correspondence and with appearance of time movement blockage issue is on the ascent, additionally ISP can't give great nature of administration. In our exploration ...

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Comparison Of Linear And Intelligent Control For A Nonlinear Electro-Hydraulic Actuator Systems

Comparison Of Linear And Intelligent Control For A Nonlinear Electro-Hydraulic Actuator Systems

... fuzzy output to signal send to the ...reference input and transfer it to another form. The output consists of the signal send to control the actuator ...

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An SVM-Fuzzy Expert System Design For
          Diabetes Risk Classification

An SVM-Fuzzy Expert System Design For Diabetes Risk Classification

... A computational model which combines machine learning algorithm with fuzzy reasoning was designed, implemented and validated. This gave better classification and promising outcomes. Although the Neuro-Fuzzy system [16] ...

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SCP 86 DOS Preliminary pdf

SCP 86 DOS Preliminary pdf

... The simple I/O functions are: Input console character Output console character Input from auxiliary Output to auxiliary Output to printer Output character string to console Input Buffere[r] ...

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Development of PC based fuzzy logic controller for DC motor

Development of PC based fuzzy logic controller for DC motor

... A graphical user interface (GUI) for System Identification Toolbox has been successfully uses in modeling and developing the mathematical model of the system. The closed loop from the model’s output is used to get ...

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