Results 11 to 20 of about 4,961 (191)
IEEE Access, 2020 In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced ...
Jinping Liu +5 more
doaj +1 more source
Neuro-fuzzy control of sit-to-stand motion using head position tracking
Measurement + Control, 2020 Based on the clinical evidence that head position measured by the multisensory system contributes to motion control, this study suggests a biomechanical human-central nervous system modeling and control framework for sit-to-stand motion synthesis ...
Samina Rafique +3 more
doaj +1 more source
Mehran University Research Journal of Engineering and Technology, 2022 Controlling an uncertain mechatronic system is challenging and crucial for its automation. In this regard, several control-strategies are developed to handle such systems.
Muhammad Khurram Saleem +4 more
doaj +1 more source
Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river [PDF]
Global Journal of Environmental Science and Management, 2018 : In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve ...
G. Elkiran +3 more
doaj +1 more source
Scientific African, 2023 Purpose: Neuro-fuzzy systems aim to combine the benefits of artificial neural networks and fuzzy inference systems: a neural network can learn patterns from data and achieves high performance, whereas a fuzzy system matches inputs and outputs using ...
Hafsaa Ouifak, Ali Idri
doaj +1 more source
Using an adaptive fuzzy-logic system to optimize the performances and the reduction of chattering phenomenon in the control of induction motor [PDF]
Serbian Journal of Electrical Engineering, 2009 Neural networks and fuzzy inference systems are becoming well recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance.
Barazane Linda +3 more
doaj +1 more source
Jurnal Elkomika, 2021 ABSTRAK Kendali vektor merupakan solusi terbaik dalam kendali motor induksi untuk meningkatkan karakter dinamis dan efisiensinya. Pada penelitian ini, sebuah kendali kecepatan PID dipadukan dengan Adaptive Neuro Fuzzy Inference System (ANFIS) untuk ...
HANIF HASYIER FAKHRUDDIN +6 more
doaj +1 more source
Neuro-fuzzy inference system and white shark optimization of coagulation-flocculation of aquaculture wastewater treatment [PDF]
Global Journal of Environmental Science and ManagementBACKGROUND AND OBJECTIVES: Polymeric flocculants derived from the coagulation-flocculation procedure, such as chitosan, effectively remove algal-bacterial biomass from wastewater treatment, demonstrating efficiencies comparable to ferric salts at reduced
A.F. Mohamed, H. Rezk
doaj +1 more source
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
openaire +6 more sources
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