Suchergebnisse - "Genetic algorithm–backpropagation neural network"
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Seafloor topography refinement from multisource data using genetic algorithm—backpropagation neural network
ISSN: 0956-540X, 1365-246XVeröffentlicht: Oxford University Press 01.09.2024Veröffentlicht in Geophysical journal international (01.09.2024)“… SUMMARY During the inversion of seafloor topography (ST) using the backpropagation neural network (BPNN), the random selection of parameters may decrease the …”
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Detecting coal content in gangue via machine vision and genetic algorithm-backpropagation neural network
ISSN: 0263-2241, 1873-412XVeröffentlicht: Elsevier Ltd 30.09.2022Veröffentlicht in Measurement : journal of the International Measurement Confederation (30.09.2022)“… A novel approach based on binocular machine vision and genetic algorithm-backpropagation neural network (GA-BPNN) was proposed …”
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Optimized parameters for the preparation of silk fibroin drug‐loaded microspheres based on the response surface method and a genetic algorithm–backpropagation neural network model
ISSN: 1552-4973, 1552-4981, 1552-4981Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.01.2021Veröffentlicht in Journal of biomedical materials research. Part B, Applied biomaterials (01.01.2021)“… Using silk fibroin as the base material, the drug‐loaded microspheres are prepared by an emulsification method. In order to determine the drug‐loading and …”
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Prediction of Short-Term Winter Photovoltaic Power Generation Output of Henan Province Using Genetic Algorithm–Backpropagation Neural Network
ISSN: 2227-9717, 2227-9717Veröffentlicht: Basel MDPI AG 01.07.2024Veröffentlicht in Processes (01.07.2024)“… In the low-carbon era, photovoltaic power generation has emerged as a pivotal focal point. The inherent volatility of photovoltaic power generation poses a …”
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Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network
ISSN: 1076-2787, 1099-0526Veröffentlicht: Hoboken Hindawi 2021Veröffentlicht in Complexity (New York, N.Y.) (2021)“… Porosity is considered as one of the most important indicators for the characterization of the comprehensive performance of thermal barrier coatings (TBCs). In …”
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Distributed nonlinear model predictive control for cobalt removal process in zinc hydrometallurgy considering error compensation modelling
ISSN: 0008-4034, 1939-019XVeröffentlicht: Hoboken, USA John Wiley & Sons, Inc 01.01.2024Veröffentlicht in Canadian journal of chemical engineering (01.01.2024)“… To address the strong nonlinearity, uncertainty, and mutual coupling in the cobalt removal process of zinc hydrometallurgy, an algorithm based on an improved …”
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Intelligent assessment of pressure in women’s loungewear based on machine learning algorithms
ISSN: 0040-5175, 1746-7748Veröffentlicht: 10.04.2025Veröffentlicht in Textile research journal (10.04.2025)“… Since the dynamic and static scenarios of women’s loungewear involve multiple parts of bodies, it becomes a major factor in the assessment of comfort to …”
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Wearable glove gesture recognition based on fiber Bragg grating sensing using genetic algorithm-back propagation neural network
ISSN: 1068-5200Veröffentlicht: Elsevier Inc 01.10.2024Veröffentlicht in Optical fiber technology (01.10.2024)“… •Gesture recognition based on FBG sensing with neural network is presented.•A human hand wearable data glove module consisting of FBG sensors was …”
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Intelligent Assessment of Urban Drainage Pipeline System based on Genetic Algorithm-Backpropagation Neural Network
Veröffentlicht: IEEE 25.04.2025Veröffentlicht in 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) (25.04.2025)“… Urban drainage pipeline networks play a pivotal role in ensuring the sustainability of urban infrastructure, but conventional evaluation procedures are …”
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A Novel Method for Mechanical Fault Diagnosis of Underwater Pump Motors Based on Power Flow Theory
ISSN: 0018-9456, 1557-9662Veröffentlicht: New York IEEE 2021Veröffentlicht in IEEE transactions on instrumentation and measurement (2021)“… ), and genetic algorithm-backpropagation neural network (GANN). This method includes three steps …”
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Energy management strategy for electrically-powered hydraulic vehicle based on driving mode recognition
ISSN: 1556-7036, 1556-7230Veröffentlicht: Taylor & Francis 31.12.2025Veröffentlicht in Energy sources. Part A, Recovery, utilization, and environmental effects (31.12.2025)“… The effectiveness of the energy management strategy directly impacts the overall system performance of a vehicle, particularly under various driving modes …”
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In-Situ Loading Test in Deep Soft Soil and Back Analysis Based on Machine Learning Method
ISSN: 1735-0522, 2383-3874Veröffentlicht: Cham Springer International Publishing 01.08.2025Veröffentlicht in International journal of civil engineering (Tehran. Online) (01.08.2025)“… The three-dimensional finite element model is established to analyze the loading test, and a Genetic Algorithm-Backpropagation Neural Network (GA-BPNN …”
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A pruned GA-BPNN model for project portfolio benefit evaluation considering ambidexterity
ISSN: 0368-492XVeröffentlicht: 23.08.2024Veröffentlicht in Kybernetes (23.08.2024)Volltext
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Comprehensive assessment of soil quality in greenhouse agriculture based on genetic algorithm and neural network
ISSN: 1439-0108, 1614-7480Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024Veröffentlicht in Journal of soils and sediments (01.03.2024)“… Purpose With the continuous advancement of modern agriculture and urbanization, soil quality assessment has been considered an important guarantee for …”
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Fusion of rough set theory, genetic algorithm-backpropagation neural networks and Shapley additive explanations for the design of bamboo furniture
ISSN: 1930-2126, 1930-2126Veröffentlicht: Raleigh North Carolina State University 01.08.2025Veröffentlicht in Bioresources (01.08.2025)“… Finally, an intelligent mapping model between product components and emotional needs was constructed using Genetic Algorithm-Backpropagation Neural Networks (GA-BPNN …”
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Increasing the Accuracy of Soil Nutrient Prediction by Improving Genetic Algorithm Backpropagation Neural Networks
ISSN: 2073-8994, 2073-8994Veröffentlicht: Basel MDPI AG 01.01.2023Veröffentlicht in Symmetry (Basel) (01.01.2023)“… Soil nutrient prediction has been eliciting increasing attention in agricultural production. Backpropagation (BP) neural networks have demonstrated remarkable …”
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Predicting CaO activity in multiple slag system using improved whale optimization algorithm and categorical boosting
ISSN: 2045-2322, 2045-2322Veröffentlicht: London Nature Publishing Group UK 19.03.2025Veröffentlicht in Scientific reports (19.03.2025)“… The activity of slag components is one of the primary factors influencing the thermodynamic properties of slag. In this study, a feasible model was established …”
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Enhanced backpropagation neural network accuracy through an improved genetic algorithm for tourist flow prediction in an ecological village
ISSN: 2045-2322, 2045-2322Veröffentlicht: London Nature Publishing Group UK 15.10.2025Veröffentlicht in Scientific reports (15.10.2025)“… ) and Genetic Algorithm-Backpropagation Neural Network (GABP-NN). However, those models cannot well address the challenge of nonlinear complexity of tourists …”
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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture
ISSN: 1932-6203, 1932-6203Veröffentlicht: United States Public Library of Science 17.01.2025Veröffentlicht in PloS one (17.01.2025)“… —Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural fields is chosen as the research topic …”
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Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine
ISSN: 0269-7491, 1873-6424, 1873-6424Veröffentlicht: England Elsevier Ltd 01.10.2018Veröffentlicht in Environmental pollution (1987) (01.10.2018)“… In order to improve the prediction accuracy and real-time of the air pollutant concentration prediction, this paper proposes self-adaptive neuro-fuzzy weighted …”
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