Search Results - subject:"Back Propagation Neural Network"

An innovative talent training mechanism for maker education in colleges and universities based on the IPSO-BP-enabled technique

Liu, Yuanbing - In: Journal of innovation & knowledge : JIK 8 (2023) 4, pp. 1-12

In this study, a path to improving students' core literacy is explored, and a new mechanism is developed for maker education and teaching based on research on students' core literacy and the essence of maker education. An evaluation model of college students' maker ability is established, and an...

Persistent link: https://www.econbiz.de/10014505004

Improving returns on strategy decisions through integration of neural networks for the valuation of asset pricing : the case of Taiwanese stock

Chen, Yi-Chang; Kuo, Shih-Ming; Liu, Yonglin; Wu, Zeqiong; … - In: International Journal of Financial Studies : open … 10 (2022) 4, pp. 1-15

bias. A back-propagation neural network (BPNN) is a financial technique that learns a multi-layer feedforward network. This …

Persistent link: https://www.econbiz.de/10013460087

Tourism demand with subtle seasonality : recognition and forecasting

Wang, Haiyan; Hu, Tao; Wu, Huihui - In: Tourism economics : the business and finance of tourism … 29 (2023) 7, pp. 1865-1889

Persistent link: https://www.econbiz.de/10014384549

Optimizing financial engineering time indicator using bionics computation algorithm and neural network deep learning

Wang, Zeyu; Deng, Yue - In: Computational economics 59 (2022) 4, pp. 1755-1772

Persistent link: https://www.econbiz.de/10013262346

The risk early-warning model of financial operation in family farms based on back propagation neural network methods

Guan, Zhigui; Zhao, Yuanjun; Geng, Guojing - In: Computational economics 60 (2022) 4, pp. 1221-1244

Persistent link: https://www.econbiz.de/10013445742

GA-BP neural network modeling for project portfolio risk prediction

Bai, Libiao; Wei, Lan; Zhang, Yipei; Zheng, Kanyin; … - In: Journal of Enterprise Information Management 37 (2022) 3, pp. 828-850

. Design/methodology/approach In this study, the authors build a PPR prediction model based on a genetic algorithm and back-propagation … neural network (GA-BPNN) integrated with entropy-trapezoidal fuzzy numbers. Then, the authors verify the proposed model with …

Persistent link: https://www.econbiz.de/10015349963

Using the integration of technical analysis and neural network model to forecast TSEC weighted index

Lin, Cheng Shian - In: The empirical economics letters : a monthly … 18 (2019) 5, pp. 551-561

Persistent link: https://www.econbiz.de/10012312539

Monthly crude oil spot price forecasting using variational mode decomposition

Li, Jinchao; Zhu, Shaowen; Wu, Qianqian - In: Energy economics 83 (2019), pp. 240-253

Persistent link: https://www.econbiz.de/10012175324

Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method

Chang, Wen-Yeau - In: Energies 6 (2013) 9, pp. 4879-4896

-term wind power forecasting. The hybrid forecasting method combines the persistence method, the back propagation neural network …

Persistent link: https://www.econbiz.de/10010692413

Real-Time Recognition of Series Seven New Zealand Banknotes

Yan, Wei Qi; Ren, Yueqiu; Nguyen, Minh - In: International Journal of Digital Crime and Forensics (IJDCF) 10 (2018) 3, pp. 50-65

of a banknote containing the elements of color and texture is extracted, and a three-layer back-propagation neural … network is trained for classification. The proposed method has demonstrated excellent recognition results in an indoor …

Persistent link: https://www.econbiz.de/10012043976