Výsledky vyhledávání - Genetic algorithm–backpropagation neural network~

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

Autoři: Shiran Zhang

Zdroj: 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

Autoři: Chunhong Wu Xinwen Su Chuang Xu a další

Zdroj: Geophysical Journal International. 238:1417-1428

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

Constitutive Modeling of A286 Superalloy: Comparison of Improved Khan-Huang-Liang, Improved Johnson-Cook, and Genetic Algorithm-Backpropagation Artificial Neural Network Models

Autoři: Liang Tao Zhiguo Feng Yulian Jiang a další

Zdroj: Journal of Materials Engineering and Performance.

Prediction modeling of cigarette ventilation rate based on genetic algorithm backpropagation (GABP) neural network

Autoři: Jiaxin Wei Zhengwei Wang Shufang Li a další

Zdroj: EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-14 (2024)

Témata: Tobacco, Multiple linear regression, BP neural network, Genetics algorithm, Ventilation rate, Telecommunication, TK5101-6720, Electronics, TK7800-8360

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1687-6180

Přístupová URL adresa: https://doaj.org/article/916de498397e4dafb0505d24617d98ad

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

Autoři: Xiaolong Chen Cora Un In Wong Hongfeng Zhang a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Témata: Ourist flow prediction, BP neural network, Genetic algorithm, Ecological scenic area, Adaptive optimization, Nonlinear forecasting, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/1b24c6128b294fd395eb4efb58b11205

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

Autoři: Xujing Zhang Yan Xu Jianping Zhou

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

Témata: 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

Přístupová URL adresa: 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

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

Autoři: Chen, Xiaolong Wong, Cora Un In Zhang, Hongfeng a další

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

Témata: 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

Autoři: Jilin Gu Shuang Liang Qiao Song a další

Zdroj: Journal of Applied Remote Sensing. 18

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

Autoři: Yan Du Hui Liu Mowen Xie a další

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

Increasing the Accuracy of Soil Nutrient Prediction by Improving Genetic Algorithm Backpropagation Neural Networks.

Autoři: Liu, Yanqing Jiang, Cuiqing Lu, Cuiping a další

Zdroj: Symmetry (20738994). Jan2023, Vol. 15 Issue 1, p151. 15p.

Témata: *GENETIC algorithms, *ARTIFICIAL neural networks, *PREDICTION models, *SOIL acidity, *FORECASTING

Geografický termín: CHINA

Optimized wind power prediction and energy storage scheduling using genetic algorithm and backpropagation neural network

Autoři: Peng Wu Zongze Li

Zdroj: International Journal of Renewable Energy Development, Vol 14, Iss 1, Pp 146-157 (2025)

Témata: genetic algorithm, backpropagation neural network, support vector machine, wind power prediction, energy storage scheduling, Renewable energy sources, TJ807-830

Popis souboru: electronic resource

Relation: https://ijred.cbiore.id/index.php/ijred/article/view/60434; https://doaj.org/toc/2252-4940

Přístupová URL adresa: https://doaj.org/article/029f1b8f7f5c4c7ab4aec0ab1e39b955

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

Autoři: Dawei Xia Ling Li Buting Zhang a další

Zdroj: Processes. 12:1516

Témata: 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

Autoři: Shuxiao Zhang Gaolong Lv Shifeng Guo a další

Zdroj: Complexity, Vol 2021 (2021)

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

Popis souboru: text/xhtml

Přístupová URL adresa: 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

Constitutive Modeling of A286 Superalloy: Comparison of Improved Khan-Huang-Liang, Improved Johnson-Cook, and Genetic Algorithm-Backpropagation Artificial Neural Network Models.

Autoři: Tao, Liang Feng, Zhiguo Jiang, Yulian a další

Zdroj: Journal of Materials Engineering & Performance; Dec2025, Vol. 34 Issue 23, p28170-28182, 13p

Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network

Autoři: Yifei Zhang Gengxin Zhang Dawei Wu a další

Zdroj: Energy and AI, Vol 18, Iss , Pp 100443- (2024)

Témata: Machine learning, Genetic Algorithm-Backpropagation, Fuel spray penetration, Parametric sensitivity analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer software, QA76.75-76.765

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666546824001095; https://doaj.org/toc/2666-5468

Přístupová URL adresa: https://doaj.org/article/43ca6ba7e70e4fcc829677ad1337247b

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

Autoři: Fu Quan Jia Zhu Jun Tian Zhang Wei He a další

Zdroj: Advanced Materials Research. :2525-2531

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

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

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

Autoři: Chunlong Zhang Dongyang Dou Fengjie Sun a další

Zdroj: Measurement. 201:111739

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

Climate change impacts on wildfire risk indices forecast based on an improved genetic neural network algorithm: a case study of Guangxi, China.

Autoři: Zhang, Shuo Pan, Mengya

Zdroj: Earth Science Informatics. Mar2025, Vol. 18 Issue 3, p1-16. 16p.

基于遗传优化算法-反向传播神经网络的 机制砂聚合物改性砂浆力学性能预测. (Chinese)

Alternate Title: Prediction of mechanical properties of manufactured sand polymer-modified mortar based on genetic optimization algorithm-backpropagation neural network. (English)

Autoři: 田浩正 乔宏霞 张云升 a další

Zdroj: Acta Materiae Compositae Sinica; Apr2025, Vol. 42 Issue 4, p2034-2047, 14p

Témata: MECHANICAL behavior of materials, OPTIMIZATION algorithms, STANDARD deviations, PRINCIPAL components analysis, FLY ash

Calibration and Validation of Simulation Parameters for Maize Straw Based on Discrete Element Method and Genetic Algorithm-Backpropagation.

Autoři: Zeng F Diao H Liu Y a další

Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Aug 12; Vol. 24 (16). Date of Electronic Publication: 2024 Aug 12.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

Výrazy ze slovníku MeSH: Zea mays*/chemistry , Algorithms*, Calibration ; Neural Networks, Computer ; Computer Simulation