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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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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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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The application of ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]
, 2015 Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Longstaff, Andrew P. +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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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.
Cosma, G, Acampora, G
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Comparative study of ANN and ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]
, 2013 Thermal errors can have significant effects on CNC machine tool accuracy. The errors usually come from thermal deformations of the machine elements created by heat sources within the machine structure or from ambient change.
Longstaff, Andrew P. +3 more
core +3 more sources
Identifikasi Gangguan Neurologis Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS)
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015 Abstrak Penggunaan metode Adaptive Neuro Fuzzy Inference System (ANFIS) dalam proses identifikasi salah satu gangguan neurologis pada bagian kepala yang dikenal dalam istilah kedokteran stroke ischemic dari hasil ct scan kepala dengan tujuan untuk ...
Jani Kusanti, Sri Hartati
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Prediction of Mechanical Properties of LDPE-TPS Nanocomposites Using Adaptive Neuro-Fuzzy Inference System [PDF]
علوم و تکنولوژی پلیمر, 2012 The changes in the behaviour of mechanical properties of low densitypolyethylene-thermoplastic corn starch (LDPE-TPCS) nanocompositeswere studied by an adaptive neuro-fuzzy interference system.
Maryam Sabetzadeh +2 more
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Energy Science &Engineering, EarlyView.A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas +6 more
wiley +1 more source