Trajectory Tracking Control of a Manipulator Based on an Adaptive Neuro-Fuzzy Inference System
Applied Sciences, 2023 Taking an intelligent trimming device hydraulic manipulator as the research object, aiming at the uncertainty, nonlinearity and complexity of its system, a trajectory tracking control scheme is studied in this paper.
Jiangyi Han, Fan Wang, Chenxi Sun
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A review of training methods of ANFIS for applications in business and economic [PDF]
, 2016 Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics.
Hussain, Kashif, Mohd Salleh, Mohd Najib
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Rice yield prediction using adaptive Neuro-fuzzy inference system (ANFIS) [PDF]
International Journal of Chemical Studies, 2020 In agriculture yield prediction is toughest task around the globe. The agriculture yield depends on various factors such as water, weather, soil characteristics, crop rotation, pest, disease etc., This paper presents a model designed using Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the yield of rice.
Dr. M Kalpana +3 more
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Journal of King Saud University: Engineering Sciences, 2017 This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) to estimate the biochemical oxygen demand (BOD) of Surma River of Bangladesh. The data sets consist of 10 water quality parameters which include pH, alkalinity (mg/L as
A.A. Masrur Ahmed +1 more
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Machine learning models for prediction of rainfall over Nigeria
Scientific African, 2022 Investigating climatology and predicting rainfall amounts are crucial for planning and mitigating the risks caused by variable rainfall. This study utilized two multivariate polynomial regressions (MPR) and twelve machine learning algorithms, namely ...
Olusola Samuel Ojo +1 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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Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation [PDF]
E3S Web of ConferencesThe main objective of Load Frequency Control (LFC) is to effectively manage the power output of an electric generator at a designated site, in order to maintain system frequency and tie-line loading within desired limits, in reaction to fluctuations. The
Nireekshana Namburi +2 more
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Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning
IEEE Transactions on Learning Technologies, 2012 With recent advances in mobile learning (m-learning), it is becoming possible for learning activities to occur everywhere. The learner model presented in our earlier work was partitioned into smaller elements in the form of learner profiles, which collectively represent the entire learning process.
Ahmed Al-Hmouz +3 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
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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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