Results 151 to 160 of about 3,578 (185)
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Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS)

Physics in Medicine and Biology, 2005
The quality of radiation therapy delivered for treating cancer patients is related to set-up errors and organ motion. Due to the margins needed to ensure adequate target coverage, many breast cancer patients have been shown to develop late side effects such as pneumonitis and cardiac damage.
Manish, Kakar   +4 more
openaire   +2 more sources

Equipment State Assessment System Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Applied Mechanics and Materials, 2015
The paper is dedicated to analyze the modern expert systems to assess the technical condition of power stations and substations high-voltage equipment. The main problems of modern expert systems and their possible solutions are determined. As the structure and their basic construction principles are considered. Also this paper proposes an algorithm for
Alexandra Khalyasmaa   +2 more
openaire   +1 more source

Adaptive neuro-fuzzy inference system (ANFIS) in modelling breast cancer survival

International Conference on Fuzzy Systems, 2010
Medical prognosis is the prediction of the future course and outcome of a disease and an indication of the likelihood of recovery from that disease. Soft-computing approaches including artificial neural networks and fuzzy inference have been used widely to model expert behaviour.
Hazlina Hamdan, Jonathan M. Garibaldi
openaire   +1 more source

An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM

Expert Systems with Applications, 2009
A wire electrical discharge machined (WEDM) surface is characterized by its roughness and metallographic properties. Surface roughness and white layer thickness (WLT) are the main indicators of quality of a component for WEDM. In this paper an adaptive neuro-fuzzy inference system (ANFIS) model has been developed for the prediction of the white layer ...
Ulaş Çaydaş   +2 more
openaire   +1 more source

Detection of forearm movements using wavelets and Adaptive Neuro-Fuzzy Inference System (ANFIS)

2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014
In this paper, a technique to classify seven different forearm movements using surface electromyography (sEMG) data which were received from 8 able bodied subjects was proposed. A 2-channel sEMG system was used for data acquisition and recording, then this raw electromyography (EMG) signals were applied to the wavelet denoising.
Demir, Mengu   +2 more
openaire   +2 more sources

Estimation of Housing Demand with Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

2017
It has always been important to anticipate the demand for a product. To determine the demand for any product, the parameters such as the economic situation and the demands of the rival products are used generally. Especially in the housing sector, which is the locomotive sector for emerging countries, it is critical to anticipate housing demand and its
Olgun Aydin, Elvan Aktürk Hayat
openaire   +1 more source

Optimization of Photosynthetic Rate Parameters using Adaptive Neuro-Fuzzy Inference System (ANFIS)

2017 International Conference on Computer and Applications (ICCA), 2017
Crop growth is greatly affected by light intensity, temperature and CO 2 concentration. The combinations of these factors are considered in growing crops. In this study, a system was developed using adaptive neuro-fuzzy inference system for the prediction of the photosynthetic rate of lettuce crop based on the temperature, light intensity and CO 2 . A
Ira C. Valenzuela   +3 more
openaire   +1 more source

Application of Adaptive Neuro Fuzzy Inference System (ANFIS) to Active Noise Control

IFAC Proceedings Volumes, 2001
Abstract In tilis paper, a new methodology for active noise control is proposed and experimentally demonstrated. The method is based on Adaptive Neuro Fuzzy Inferen e Systems (ANFIS), which is introduced to overcome nonJinearity inherent in active noise control. Filtered-X ANFIS algoritlun for leaning is derived.
Riyanto Bambang, Simeon Wicaksana
openaire   +1 more source

Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering

Computers and Geotechnics, 2012
Abstract This paper presents a review of the Adaptive Neuro-Fuzzy Inference System (ANFIS) in current use for geotechnical engineering-based studies, as well as some applications employed in resonant column testing, triaxial testing, and liquefaction triggering. Over the last few years, ANFIS has been used in many geotechnical engineering problems. A
Ali Firat Cabalar   +2 more
openaire   +1 more source

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