Results 101 to 110 of about 8,169 (234)
, 1999 In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The paper is organized as follows: in the first section we introduce the basic notations and definitions needed for fuzzy inference systems; in the second ...
Fullér, Róbert
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Laparoscopy Pneumoperitoneum Fuzzy Modeling
, 2011 : Gas volume to intra-peritoneal pressure fuzzy modeling for evaluating pneumoperitoneum in videolaparoscopic surgery is proposed in this paper. The proposed approach innovates in using fuzzy logic and fuzzy set theory for evaluating the accuracy of the ...
Jose E. Araujo Jr. +2 more
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This paper, we studied the ability of geostatistical models (ordinary kriging (OK) and Inverse distance weighting (IDW)), adaptive neuro-fuzzy inference system (ANFIS) and Winter method for prediction of seasonality in prices of potatoes and onions in ...
Najafi, Bahaeddin +2 more
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Intelligent H2/H∞ Robust Control of an Active Magnetic Bearings System
Al-Khawarizmi Engineering Journal, 2015 Robust controller design requires a proper definition of uncertainty bounds. These uncertainty bounds are commonly selected randomly and conservatively for certain stability, without regard for controller performance.
Safanah M. Raafat, Rini Akmeliawati
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Kinetic modeling and neuro-fuzzy application in ethanol production
Revista Brasileira de Engenharia de BiossistemasThis study presents the application of kinetic modeling and Neuro-Fuzzy techniques in ethanol production. The research aims to optimize the fermentation process by employing the Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict ethanol yield ...
Emmanuel Zullo Godinho +2 more
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Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS)
MATICS, 2016 The number of uncertain risk factor in heart disease makes experts difficult to diagnose its disease. Computer technology in the health field is mostly used. In this paper, we implement a system to diagnose heart disease. The used method is Adaptive neuro-fuzzy inference system which combine the advantage of fuzzy and neural network.
openaire +2 more sources
PREDIKSI CURAH HUJAN MENGGUNAKAN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)
Prediction of Rainfall Using Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]
, 2010 ABSTRAKSI: Curah hujan adalah endapan atau deposit air dalam bentuk cair maupun padat yang berasal atmosfer. Informasi tentang banyaknya curah hujan adalah salah satu unsur penting dan besar pengaruhnya terhadap segala macam aktifitas kehidupan seperti ...
Muhammad Nur Budi Prakoso
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Clustering as a tool for self-generation of intelligent systems : a survey. [PDF]
, 2010 Fuzzy Rule Based (FRB) and Neuro-fuzzy systems are commonly used as a basis for intelligent systems due to their transparent and simple human interpretable structure.
Angelov, Plamen, Dutta Baruah, Rashmi
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Applied SciencesRunway surface roughness is recognized as a principal cause of passenger aircraft vibration during taxiing, adversely affecting ride comfort, safety, and even human health.
Aslı Durmuşoğlu, Şahin Yıldırım
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ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) APPROACH TO EVALUATE THE DEBUTANIZER TOP PRODUCT [PDF]
, 2020 This paper proposed an ANFIS estimator to evaluate the top product from secondary measurements. Real debutanizer column in one of the Iranian refineries has been purchased and the adaptive neuro-fuzzy inference system is trained and validated with real ...
Hamed Sahraie +2 more
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