Suchergebnisse - "Genetic algorithm–backpropagation"

Fusion of rough set theory, genetic algorithm-backpropagation neural networks and Shapley additive explanations for the design of bamboo furniture

Autoren: Zhongchen Huang Li Ye

Quelle: BioResources, Vol 20, Iss 3, Pp 7107-7133 (2025)

Schlagwörter: kansei engineering, bamboo furniture, bamboo chair, shapley additive explanations, genetic algorithm-backpropagation neural networks, TP248.13-248.65, rough set theory, Biotechnology

Zugangs-URL: https://doaj.org/article/6845f7fe5af04af490ceaa2eca5171b5

Optimizing phosphorus fertilizer application to balance potato yield and quality: A neural network analysis

Autoren: Shuo Kong Yonglin Qin Jing Yu et al.

Quelle: Scientia Horticulturae, Vol 355, Iss , Pp 114550- (2026)

Schlagwörter: Potato, Quality, Artificial neural networks, Phosphorus application rate, Genetic algorithm–backpropagation, Plant culture, SB1-1110

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0304423825005977; https://doaj.org/toc/1879-1018

Zugangs-URL: https://doaj.org/article/26163f49134942d9a95e6340c4c6ea6a

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

Autoren: Yifei Zhang Gengxin Zhang Dawei Wu et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/43ca6ba7e70e4fcc829677ad1337247b

PENENTUAN PARAMETER LEARNING RATE SELAMA PEMBELAJARAN JARINGAN SYARAF TIRUAN BACKPROPAGATION MENGGUNAKAN ALGORITMA GENETIKA

Autoren: saputra, ade chandra

Quelle: Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika; Vol. 14 No. 2 (2020): Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika; 202 - 212 ; 2656-0321 ; 10.47111/jti.v14i2

Schlagwörter: Artificial Neural Network Genetic Algorithm Backpropagation Local minima SSE

Dateibeschreibung: application/pdf

Relation: https://e-journal.upr.ac.id/index.php/JTI/article/view/1141/1502

Verfügbarkeit: https://e-journal.upr.ac.id/index.php/JTI/article/view/1141