Results 31 to 40 of about 15,321 (232)
The application of ANFIS prediction models for thermal error compensation on CNC machine tools
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Longstaff, Andrew P. +3 more
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Estimation of pile settlement socketed to rock applying hybrid ALO-ANFIS and GOA-ANFIS approaches
Pile settlement (SP) socketed to rock has received substantial attention. Despite introducing some design methods of SP prediction, considering the novel and practical predicting model with satisfactory performance is pivotal.
Dai Yu
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An ANFIS approach to transmembrane protein prediction [PDF]
This paper is concerned with transmembrane prediction analysis. Most of novel drug design requires the use of Membrane proteins. Transmembrane protein structure allows pharmaceutical industry to design new drugs based on structural layout. However, laboratory experimental structure determination by X-ray crystallography is difficult to be achieved as ...
Hassan B. Kazemian, Syed Adnan Yusuf
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A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation
The fast and accurate modelling of thermal errors in machining is an important aspect for the implementation of thermal error compensation. This paper presents a novel modelling approach for thermal error compensation on CNC machine tools.
Longstaff, Andrew P. +7 more
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PSO-ANFIS-Based Energy Management in Hybrid AC/DC Microgrid along with Plugin Electric Vehicle
This study proposes a hybrid AC/DC microgrid with plugin EVs, leveraging PSO-tuned ANFIS for voltage and power control. With the existing control, which faced challenges such as instability and complexity, the proposed approach is aimed at simplifying ...
V. Ashokkumar, C. B. Venkatramanan
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Thermal errors are often quoted as being the largest contributor to CNC machine tool errors, but they can be effectively reduced using error compensation.
Longstaff, Andrew P. +4 more
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Prediction of suspended sediment distributions using data mining algorithms
Distribution of sediment concentration in open-channel flows, particularly in rivers, is one of the most important factors in understanding the river behavior, water quality, and design of hydraulic structures.
Yaser Mehri +2 more
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ANFIS Approach for Navigation of Mobile Robots [PDF]
This paper, discusses about navigation control of mobile robot using adaptive neuro-fuzzy inference system (ANFIS) in a real word dynamic environment. In the ANFIS controller after the input layer there is a fuzzy layer and rest of the layers are neural network layers. The adaptive neuro-fuzzy hybrid system combines the advantages of fuzzy logic system,
Mukesh Kumar Singh +2 more
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Until now, considerable efforts have been made to determine which modelling technique performs the best for predicting accident frequency based on crash data.
Amir Mohammadian Amiri +2 more
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Determination of industrial energy demand in Turkey using MLR, ANFIS and PSO-ANFIS [PDF]
Energy is one of the most critical inputs in social and economic development, is an essential factor in increasing living standards and creating sustainable development. Since energy is an indispensable input in all sectors, energy dependence contributed to the necessity of countries' energy policy.
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