Suchergebnisse - "Genetic algorithm-backpropagation neural network"

Intelligent Assessment of Urban Drainage Pipeline System based on Genetic Algorithm-Backpropagation Neural Network

Autoren: Shiran Zhang

Quelle: 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). :1-8

Seafloor topography refinement from multisource data using genetic algorithm—backpropagation neural network

Autoren: Chunhong Wu Xinwen Su Chuang Xu et al.

Quelle: Geophysical Journal International. 238:1417-1428

Schlagwörter: 14. Life underwater, 01 natural sciences, 0105 earth and related environmental sciences

Comparative evaluation of backpropagation neural network and genetic algorithm-backpropagation neural network models for PM2.5 concentration prediction based on aerosol optical depth, meteorological factors, and air pollutants

Autoren: Jilin Gu Shuang Liang Qiao Song et al.

Quelle: Journal of Applied Remote Sensing. 18

Carbon Dioxide Emissions Prediction in China: A Genetic Algorithm-backpropagation Neural Network Approach

Autoren: Yan Du Hui Liu Mowen Xie et al.

Schlagwörter: 13. Climate action, 11. Sustainability, 7. Clean energy

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

Autoren: Xujing Zhang Yan Xu Jianping Zhou

Quelle: Journal of Biomedical Materials Research Part B: Applied Biomaterials. 109:6-18

Schlagwörter: Drug Carriers, Drug Compounding, Temperature, 02 engineering and technology, In Vitro Techniques, Microspheres, Drug Liberation, 03 medical and health sciences, 0302 clinical medicine, Models, Chemical, Isoniazid, Neural Networks, Computer, Particle Size, Fibroins, 0210 nano-technology

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/32748484
https://europepmc.org/article/MED/32748484
https://onlinelibrary.wiley.com/doi/10.1002/jbm.b.34676
https://www.ncbi.nlm.nih.gov/pubmed/32748484

Prediction of Short-Term Winter Photovoltaic Power Generation Output of Henan Province Using Genetic Algorithm–Backpropagation Neural Network

Autoren: Dawei Xia Ling Li Buting Zhang et al.

Quelle: Processes. 12:1516

Schlagwörter: 13. Climate action, 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network

Autoren: Shuxiao Zhang Gaolong Lv Shifeng Guo et al.

Quelle: Complexity, Vol 2021 (2021)

Schlagwörter: Electronic computers. Computer science, 0103 physical sciences, QA75.5-76.95, 02 engineering and technology, 0210 nano-technology, 01 natural sciences

Dateibeschreibung: text/xhtml

Zugangs-URL: https://downloads.hindawi.com/journals/complexity/2021/8869928.pdf
https://doaj.org/article/de253953e566470190465f282e9d3a43
https://downloads.hindawi.com/journals/complexity/2021/8869928.pdf
https://philpapers.org/rec/ZHAPCO-3
https://ideas.repec.org/a/hin/complx/8869928.html
https://www.hindawi.com/journals/complexity/2021/8869928/
https://dblp.uni-trier.de/db/journals/complexity/complexity2021.html#ZhangLGZF21
http://downloads.hindawi.com/journals/complexity/2021/8869928.pdf

The Application of Genetic Algorithm Backpropagation Neural Network Model on the Prediction and Optimization of Wastewater Treatment System

Autoren: Fu Quan Jia Zhu Jun Tian Zhang Wei He et al.

Quelle: Advanced Materials Research. :2525-2531

Schlagwörter: 11. Sustainability, 01 natural sciences, 6. Clean water, 0105 earth and related environmental sciences, 12. Responsible consumption, 3. Good health

Zugangs-URL: https://www.scientific.net/AMR.838-841.2525

Detecting coal content in gangue via machine vision and genetic algorithm-backpropagation neural network

Autoren: Chunlong Zhang Dongyang Dou Fengjie Sun et al.

Quelle: Measurement. 201:111739

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prediction of Short-Term Winter Photovoltaic Power Generation Output of Henan Province Using Genetic Algorithm–Backpropagation Neural Network.

Autoren: Xia, Dawei Li, Ling Zhang, Buting et al.

Quelle: Processes; Jul2024, Vol. 12 Issue 7, p1516, 18p

Schlagwörter: PHOTOVOLTAIC power generation, STANDARD deviations, WEATHER, RAINFALL, BACK propagation

Porosity Characterization of Thermal Barrier Coatings by Ultrasound with Genetic Algorithm Backpropagation Neural Network.

Autoren: Zhang, Shuxiao Lv, Gaolong Guo, Shifeng et al.

Quelle: Complexity; 4/29/2021, p1-9, 9p

Schlagwörter: THERMAL barrier coatings, GENETIC algorithms, POROSITY, ARTIFICIAL neural networks, REFLECTANCE

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.

Autoren: Zhang, Xujing Zhou, Jianping Xu, Yan

Quelle: Journal of Biomedical Materials Research, Part B: Applied Biomaterials; Jan2021, Vol. 109 Issue 1, p6-18, 13p

Schlagwörter: ETHYLCELLULOSE, ARTIFICIAL neural networks, SILK fibroin, MICROSPHERES

Enhanced backpropagation neural network accuracy through an improved genetic algorithm for tourist flow prediction in an ecological village.

Autoren: Chen, Xiaolong Wong, Cora Un In Zhang, Hongfeng et al.

Quelle: Scientific Reports; 10/15/2025, Vol. 15 Issue 1, p1-22, 22p

Schlagwörter: GENETIC algorithms, SUSTAINABLE tourism, TRAFFIC estimation, TOURISM, ARTIFICIAL neural networks, NONLINEAR theories, SUSTAINABLE communities

Comparative evaluation of backpropagation neural network and genetic algorithm-backpropagation neural network models for PM2.5 concentration prediction based on aerosol optical depth, meteorological factors, and air pollutants.

Autoren: Gu, Jilin Liang, Shuang Song, Qiao et al.

Quelle: Journal of Applied Remote Sensing; Jan-Mar2024, Vol. 18 Issue 1, p12006-12006, 1p

Few-Short Photovoltaic Systems Predictions Algorithm in Cold-Wave Weather via WOA-CNN-LSTM Model.

Autoren: Pan, Ruiheng Wang, Shuyan Huang, Yihan et al.

Quelle: Energy Engineering; 2025, Vol. 122 Issue 8, p3079-3098, 20p

Schlagwörter: PHOTOVOLTAIC power systems, COLD waves (Meteorology), GENERATIVE adversarial networks, ENERGY consumption forecasting, CLUSTERING algorithms, PREDICTION models, CLIMATE change

Research on Pedestrian Avoidance Behavior for School Section Based on Improved BP Neural Network and XGboost Algorithm.

Autoren: Lu, Guiliang Liu, Mingwei

Quelle: Applied Sciences (2076-3417); May2025, Vol. 15 Issue 9, p4724, 24p

Schlagwörter: ENSEMBLE learning, MACHINE learning, TRAFFIC accidents, PEDESTRIAN areas, PREDICTION models, PEDESTRIANS, PEDESTRIAN accidents, TRAFFIC safety

Economic dispatch strategy for wind-containing power systems considering cascading failures.

Autoren: Deng, Huiqiong Shen, Junfu Xie, Pan et al.

Quelle: Electrical Engineering; May2025, Vol. 107 Issue 5, p6123-6133, 11p

Schlagwörter: WIND power, PARTICLE swarm optimization, WIND forecasting, SYSTEM failures, ELECTRIC power failures

随钻信号对岩石单轴抗压强度响应特征及反演模型. (Chinese)

Alternate Title: Modeling study of uniaxial compressive strength prediction from similar analog drilling test signals. (English)

Autoren: 刘河清 刘建康 郝 建 et al.

Quelle: Coal Science & Technology (0253-2336); Apr2025, Vol. 53 Issue 4, p266-279, 14p

Schlagwörter: ARTIFICIAL neural networks, MINES & mineral resources, GEOTECHNICAL engineering, PREDICTION models, COAL mining

Predicting CaO activity in multiple slag system using improved whale optimization algorithm and categorical boosting.

Autoren: Xin, Zi-cheng Zhang, Jiang-shan Liu, Qing

Quelle: Scientific Reports; 3/19/2025, Vol. 15 Issue 1, p1-11, 11p

The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture.

Autoren: Wang, Xiying

Quelle: PLoS ONE; 1/17/2025, Vol. 20 Issue 1, p1-21, 21p

Schlagwörter: WATER management, ARTIFICIAL intelligence, PREDICTION models, GENETIC algorithms, AGRICULTURE