[PDF] Top 20 Experimental Investigation on Multi Pass Drilling of GFRP Using Fuzzy Inference System
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Experimental Investigation on Multi Pass Drilling of GFRP Using Fuzzy Inference System
... on drilling of GFRP composites using TiAlN coated solid carbide drill ...in drilling of GFRP using HSS twist drill for responses Delamination and surface ...out drilling ... See full document
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Analysis of machining characteristics in drilling of GFRP composite with application of fuzzy logic approach Pages 447-456 Download PDF
... between fuzzy based model and response surface model has been carried ...by using the Fuzzy logic. Unlike drilling, the turning operation has been conducted on ...of GFRP composites. ... See full document
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Surface Roughness analysis of drilling on GFRP composites by experimental investigation and predictive modeling
... by drilling with tool wear, Delamination appears to be the most critical ...of drilling surfaces depends on the cutting parameters and tool wear, while changing the cutting parameters causes to tool wear ... See full document
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Experimental Investigation on Error Detection...
... carrier system the whole available spectrum is used for transmission of a single message ...multicarrier system the available spectrum is divided into many narrow bands and data is divided into parallel ... See full document
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Load Balancing Using Fuzzy Inference System in Distributed Computing
... PCs, system terminals or different resources, so as to obtain maximum response time or resource ...increasing system throughput. It also improve the overall system execution by moving jobs from ... See full document
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Comparative Experimental and Numerical Investigation on Electrical Discharge Drilling of AISI 304 using Circular and Elliptical Electrodes
... in drilling of 6061 aluminium ...the drilling of Ti-6Al-4V. Another study on using helical electrodes with the implementation of ultrasonic vibrations on workpiece was conducted by Hung et ...the ... See full document
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Highly nonlinear control of a solar thermal power plant using soft computing fuzzy tuning techniques
... Sugeno-type fuzzy incremental controller was tuned using an ANFIS (Adaptive Neural Fuzzy Inference System) to optimise the fuzzy controller’s pre-clustered input membership ... See full document
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Multiple performance optimization of drilling parameters and tool geometries in drilling GFRP composite stacks using Taguchi and grey relational analysis (GRA) method
... of drilling parameters and tool geometries on quality of the ...optimum drilling parameter is determined by using grey relational grade obtained from grey relational analysis for multiple-performance ... See full document
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Alternative Fuzzy Algebra for Fuzzy Linear System Using Cramers Rules on Fuzzy Trapozoidal Number
... that fuzzy said to be positive fuzzy number or negative fuzzy number using the area of positive x-axis and negative x-axis, then it will be followed by algebra modifications on two ... See full document
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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images
... image using the fuzzy image enhancement technique is the main focus of the ...the system. Fuzzy rules and fuzzy membership functions are applied for the same which is a knowledge- based ... See full document
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Deduction of reservoir operating rules for application in global hydrological models
... Besides the variety of physical properties of reservoirs causing differences in how input parameters are classified, two phenomena that are intrinsic to ANFIS seem to be es- pecially relevant. As membership functions ... See full document
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COVID-19 Pandemic Prediction for Hungary; a Hybrid Machine Learning Approach
... potential using data from ...network-based fuzzy inference system (ANFIS) and multi-layered perceptron-imperialist competitive algorithm (MLP-ICA) are used to predict time series of ... See full document
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Fuzzification Of Fuzzy Logic And Fuzzy Sets With An Overview Of Fuzzy Set Operations And Applications R.Gayathri M.Phil, Dr.P.Mayilvahanan Phd, Dr.P.Guhan M.C.A,M.Phil,Phd Abstract PDF IJIRMET160206022
... with Fuzzy logic an idea which is easy to understand. Fuzzy logic provides an alternative way to represent linguistic and subjective attributes of the real world in ...of fuzzy logic model in this ... See full document
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Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
... Due to geographic and climatic conditions, population growth, urbanization and orientation to industry in Yazd, it is likely that the city is dealing with environmental problems. The aim of this study is modelling and ... See full document
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... proposed Fuzzy logic control method to improve the performance and reliability of the multicast routing protocols in ...nodes. Fuzzy logic is proposed to distinguish the strong and weak nodes in the ... See full document
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A sugeno and tsukamoto fuzzy inference system for denoising medical images
... detached using easy threshold ...algorithm using Discrete Wavelet Transform (DWT) The transform of a signal is just another form of representing the ... See full document
5
A Recommender System for Web Mining using Neural Network and Fuzzy Algorithm
... by using fuzzy –neural ...by using fuzzy clustering method. Then, by using fuzzy inference system, fuzzy rules based on related clusters and user’s interests ... See full document
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Experiment Analysis of Inertia Augmented Flywheel and Development of a Prediction Model using ANFIS
... augmentation. Experimental analysis was then made for measurement of effect of Load and Speed on the Power and Efficiency of the ...of experimental data prediction model for Predicting the efficiency at ... See full document
5
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
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Modelling and control of paraplegic’s knee joint (FES SWINGING)
... The most often cited macroscopic muscle model is based on the description by Hill (1938) with a large amount of experimental data and results.. The Hill-based muscle models are popular as their parameters describe ... See full document
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