Search Results - genetics algorithm–backpropagation neural network

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

Authors: Shiran Zhang

Source: 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

Authors: Chunhong Wu Xinwen Su Chuang Xu et al.

Source: Geophysical Journal International. 238:1417-1428

Subject Terms: 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

Authors: Liang Tao Zhiguo Feng Yulian Jiang et al.

Source: Journal of Materials Engineering and Performance.

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

Authors: Jiaxin Wei Zhengwei Wang Shufang Li et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/916de498397e4dafb0505d24617d98ad

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

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

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

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

File Description: electronic resource

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

Access URL: 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

Authors: Xujing Zhang Yan Xu Jianping Zhou

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

Subject Terms: 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

Access 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

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

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

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

Subject Terms: 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

Authors: Jilin Gu Shuang Liang Qiao Song et al.

Source: Journal of Applied Remote Sensing. 18

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

Authors: Yan Du Hui Liu Mowen Xie et al.

Subject Terms: 13. Climate action, 11. Sustainability, 7. Clean energy

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

Authors: Liu, Yanqing Jiang, Cuiqing Lu, Cuiping et al.

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

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

Geographic Terms: CHINA

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

Authors: Peng Wu Zongze Li

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/029f1b8f7f5c4c7ab4aec0ab1e39b955

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

Authors: Dawei Xia Ling Li Buting Zhang et al.

Source: Processes. 12:1516

Subject Terms: 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

Authors: Shuxiao Zhang Gaolong Lv Shifeng Guo et al.

Source: Complexity, Vol 2021 (2021)

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

File Description: text/xhtml

Access 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

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

Authors: Tao, Liang Feng, Zhiguo Jiang, Yulian et al.

Source: 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

Authors: Yifei Zhang Gengxin Zhang Dawei Wu et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/43ca6ba7e70e4fcc829677ad1337247b

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

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

Source: Advanced Materials Research. :2525-2531

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

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

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

Authors: Chunlong Zhang Dongyang Dou Fengjie Sun et al.

Source: Measurement. 201:111739

Subject Terms: 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.

Authors: Zhang, Shuo Pan, Mengya

Source: 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)

Authors: 田浩正 乔宏霞 张云升 et al.

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

Subject Terms: 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.

Authors: Zeng F Diao H Liu Y et al.

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

Publication Type: Journal Article

Journal Info: 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

MeSH Terms: Zea mays*/chemistry , Algorithms*, Calibration ; Neural Networks, Computer ; Computer Simulation