Adaptive Neuro-Fuzzy Inference System for drought forecasting
Stochastic Environmental Research and Risk Assessment, 2008 Drought causes huge losses in agriculture and has many negative influences on natural ecosystems. In this study, the applicability of Adaptive Neuro-Fuzzy Inference System (ANFIS) for drought forecasting and quantitative value of drought indices, the Standardized Precipitation Index (SPI), is investigated.
Bacanlı, Ülker Güner +2 more
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Comparison of artificial intelligence methods for predicting compressive strength of concrete
Građevinar, 2021 Compressive strength of concrete is an important parameter in concrete design. Accurate prediction of compressive strength of concrete can lower costs and save time.
Mehmet Timur Cihan
doaj +1 more source
Development of ANFIS Control System for Seismic Response Reduction using Multi-Objective Genetic Algorithm [PDF]
, 2016 Adaptive neuro fuzzy inference system (ANFIS) and Genetic algorithm (GA) was proposed in this study to reduce dynamic responses of a seismically excited building.
F, Q. M. (Qureshi) +2 more
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Adaptive neuro-fuzzy controller of switched reluctance motor [PDF]
Serbian Journal of Electrical Engineering, 2007 This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Tahour Ahmed +2 more
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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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Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
Applied Sciences, 2021 Computational color constancy (CCC) is a fundamental prerequisite for many computer vision tasks. The key of CCC is to estimate illuminant color so that the image of a scene under varying illumination can be normalized to an image under the canonical ...
Yunhui Luo +3 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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Assessment of the efficiency of educational project management using neuro-fuzzy system [PDF]
E3S Web of Conferences, 2019 The project represents the introduction of elements and methods of artificial intelligence in the work programs of disciplines in the direction of “Management”.
Krichevsky Mikhail +2 more
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Electricity consumption forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]
, 2019 Universiti Tun Hussein Onn Malaysia (UTHM) is a developing Malaysian Technical University. There is a great development of UTHM since its formation in 1993.
K.G., Tay +3 more
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Application of Adaptive Neuro-Fuzzy Inference System in High Strength Concrete [PDF]
, 2014 Adaptive Neuro-Fuzzy Inference System is growing to predict nonlinear behaviour of construction materials. However due to wide variety of parameters in this type of artificial intelligent machine, selecting the proper optimization methods together with ...
Nejadi, S, Vakhshouri, B
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