Predicting High-Strength Concrete's Compressive Strength: A Comparative Study of Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Response Surface Methodology. [PDF]
Materials (Basel)Li T +6 more
europepmc +1 more source
An adaptive neuro-fuzzy inference system for modelling Australia's regional airline passenger demand
, 2015 Panarat Srisaeng +2 more
openalex +2 more sources
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Sensorless vector-controlled induction motor drives: Boosting performance with Adaptive Neuro-Fuzzy Inference System integrated augmented Model Reference Adaptive System. [PDF]
MethodsXI G, K DK, S B, S Y, R A, R R, G K, G M.
europepmc +1 more source
Deep Underground Science and Engineering, EarlyView.A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan +6 more
wiley +1 more source
Transformer hot spot temperature estimation through adaptive neuro fuzzy inference system approach. [PDF]
HeliyonMharakurwa ET, Gicheru DW.
europepmc +1 more source
A Novel Framework of Fuzzy Rule Interpolation for Takagi-Sugeno-Kang Inference Systems
, 2019 Pu Zhang, Qiang Shen
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Deep Underground Science and Engineering, EarlyView.A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li +7 more
wiley +1 more source
Adaptive neuro-fuzzy inference system for forecasting corrosion rates of automotive parts in biodiesel environment. [PDF]
HeliyonSamuel OD +4 more
europepmc +1 more source
Penerapan Fuzzy Inference System Untuk Mengendalikan Kecepatan Motor Induksi 3 Phase
, 2018 Sugeng Sugeng
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