A comparison of fuzzy approaches to e-commerce review rating prediction [PDF]
, 2015 This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction.
Acampora, G, Cosma, G
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A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation [PDF]
, 2014 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.
Abdulshahed, Ali +2 more
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Comparative performance of intelligent algorithms for system identification and control [PDF]
, 2008 This paper presents an investigation into the comparative performance of intelligent system identification and control algorithms within the framework of an active vibration control (AVC) system.
Dahal, Keshav +3 more
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Estimating maximum shear modulus (G) using adaptive neuro-fuzzy inference system (ANFIS)
Soil Dynamics and Earthquake Engineering, 2022 Realistic estimation of soil behavior is dependent on considering very small and small strain domains. Lengthy formulas proposed in the literature have limited predictive power for estimation of maximum shear modulus, G0. The aim of this study is to overcome this drawback.
Ali Vatanshenas, Tim Tapani Länsivaara
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Sign Language Detection System Using Adaptive Neuro Fuzzy Inference System (ANFIS) Method
Journal of Applied Engineering and Technological Science (JAETS), 2022 Sign language is a language that prioritizes communication with hands, body language, and lip movements to communicate. The deaf are the main group who use this language, often combining hand shape, hand, arm and body orientation and movement, and facial expressions to express their thoughts.
Dadang Mulyana Iskandar +2 more
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Designing power system stabilizer for multimachine power system using neuro-fuzzy algorithm [PDF]
, 2001 This paper describes a design procedure for a fuzzy logic based power system stabilizer (FLPSS) and adaptive neuro-fuzzy inference system (ANFIS) and investigates their robustness for a multi-machine power system.
Linkens, D. A. +2 more
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A Soft Computing Approach to Dynamic Load Balancing in 3GPP LTE [PDF]
, 2012 A major objective of the 3GPP LTE standard is the provision of high-speed data services. These services must be guaranteed under varying radio propagation conditions, to stochastically distributed mobile users.
Atayero, A. A., Luka, M. K.
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Prediksi Penjualan Barang Menggunakan Metode Adaptive Neuro-Fuzzy Inference System (ANFIS)
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika, 2016 Prediksi penjualan barang merupakan salah satu cara untuk menjaga stabilitas penjualan barang. Hasil prediksi yang diperoleh dapat dijadikan sebagai pertimbangan untuk mengambil keputusan dalam perencanaan manajemen bisnis. Salah satu metode yang dapat digunakan untuk prediksi adalah Adaptive Neuro-Fuzzy Inference System (ANFIS).
Allyna Virrayyani, Sutikno Sutikno
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Design an intelligent controller for full vehicle nonlinear active suspension systems [PDF]
, 2011 The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements.
Aldair, A A, Wang, W J
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Tractor-Implement Tillage Depth Control Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Proceedings of Engineering and Technology Innovation, 2021 This study presents a design of an adaptive neuro-fuzzy controller for tractors’ tillage operations. Since the classical controllers allows plowing depth errors due to the variations of lands structure, the use of the combined neural networks and fuzzy logic methods decreases these errors.
Aristide Timene +2 more
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