Search Results - subject:"BP Neural Network"

Model for technology risk assessment in commercial banks

Kang, Wenhao; Cheung, Chi Fai - In: Risks : open access journal 12 (2024) 2, pp. 1-20

As the complexity of banking technology systems increases, the prevention of technological risk becomes an endless battle. Currently, most banks rely on the experience and subjective judgement of experts and employees to allocate resources for technological risk management, which does not...

Persistent link: https://www.econbiz.de/10014497394

Measurement of project portfolio benefits with a GA-BP neural network group

Bai, LiBiao; An, Yuqin; Sun, Yichen - In: IEEE transactions on engineering management : EM ; a … 71 (2024), pp. 4737-4749

Persistent link: https://www.econbiz.de/10015408002

Evaluation of China's maritime power construction index and policy textual analysis

Zhang, Kuncheng; Tian, Shi-Zheng; Wu, Yong; Wu, Jiale; … - In: Marine economics and management : MAEM 6 (2023) 2, pp. 59-71

Purpose - This research establishes an evaluation index system and calculation method for the China's maritime power construction index (CMPCI). It has conducted practical tests on the progress of China's maritime power construction since the 12th-13th Five-Year Plans. This paper conducts a...

Persistent link: https://www.econbiz.de/10014445309

An improved BPNN algorithm based on deep learning technology to analyze the market risks of A+H shares

Wu, Yi; Zhu, Delong; Liu, Zijian; Li, Xin Li - In: Journal of global information management 30 (2022) 7, pp. 1-23

Persistent link: https://www.econbiz.de/10012800063

Predictive model of energy consumption for office building by using improved GWO-BP

Tian, Ying; Yu, Junqi; Zhao, Anjun - In: Energy Reports 6 (2020), pp. 620-627

fitting accuracy. Therefore, a composite prediction model of building power consumption based on FCM-GWO-BP neural network was … (FCM) was used to cluster the historical power consumption data. BP neural network prediction model was established for … accuracy index root mean square percentage error (RMSPE), the GWO-BP neural network after FCM clustering was reduced by about 0 …

Persistent link: https://www.econbiz.de/10012652425

Predictive model of energy consumption for office building by using improved GWO-BP

Tian, Ying; Yu, Junqi; Zhao, Anjun - In: Energy reports 6 (2020), pp. 620-627

Persistent link: https://www.econbiz.de/10012195673

The Application of LM-BP Neural Network in the Prediction of Total Output Value of Agriculture

ZHANG, Zimin; FAN, Yanying; CHEN, Guanping - In: Asian Agricultural Research 07 (2015) 02

would be affected by many factors, having the characteristics of non-linearity. For this reason, LM-BP neural network was … that the prediction of LM-BP neural network fits well with actual results. …

Persistent link: https://www.econbiz.de/10011275805

Analysis on predict model of railway passenger travel factors judgment with soft-computing methods

Yan, Xi; Li, Jing - In: Journal of Industrial Engineering and Management (JIEM) 7 (2014) 1, pp. 100-114

detailed comparative study was implemented with comparing the two soft-computing methods: genetic algorithm, BP neural network …

Persistent link: https://www.econbiz.de/10011939110

Analysis on predict model of railway passenger travel factors judgment with soft-computing methods

Xi, Yan; Li, Jing - In: Journal of industrial engineering and management : JIEM 7 (2014) 1, pp. 100-114

detailed comparative study was implemented with comparing the two soft-computing methods: genetic algorithm, BP neural network …

Persistent link: https://www.econbiz.de/10011904352

Combination of Empirical Study with Qualitative Simulation for Optimization Problem in Mobile Banking Adoption

Wei, Xiaochao; Hu, Bin; Carley, Kathleen M - In: Journal of Artificial Societies and Social Simulation 16 (2013) 3, pp. 10-10

objective functions are examined by the BP neural network. Then, to examine the feasibility of the framework, a prototype system …

Persistent link: https://www.econbiz.de/10010790584