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Research on the application of BP neural network model in the construction of performance evaluation index system

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09 ott 2024
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Phadermrod, B., Crowder, R. M., & Wills, G. B. (2019). Importance-performance analysis based SWOT analysis. International journal of information management, 44, 194-203. Search in Google Scholar

McDavid, J. C., Huse, I., & Hawthorn, L. R. (2018). Program evaluation and performance measurement: An introduction to practice. Sage Publications. Search in Google Scholar

Liu, S. (2022). Internal economic management and performance evaluation method of enterprise based on balanced scorecard. Discrete Dynamics in Nature and Society, 2022(1), 5071667. Search in Google Scholar

Yang, G., Zhou, X., & Liang, Z. (2020). Enterprise internationalisation performance evaluation model based on artificial neural network. International Journal of Embedded Systems, 13(4), 387-397. Search in Google Scholar

Waśniewski, P. (2017). A performance measurement system for small enterprises–a case study. Zeszyty Teoretyczne Rachunkowości, (93), 211-234. Search in Google Scholar

Anwar, G., & Abdullah, N. N. (2021). The impact of Human resource management practice on Organizational performance. International journal of Engineering, Business and Management (IJEBM), 5. Search in Google Scholar

Groen, B. A., Wouters, M. J., & Wilderom, C. P. (2017). Employee participation, performance metrics, and job performance: A survey study based on self-determination theory. Management accounting research, 36, 51-66. Search in Google Scholar

van der Kolk, B., van Veen-Dirks, P. M., & ter Bogt, H. J. (2019). The impact of management control on employee motivation and performance in the public sector. European Accounting Review, 28(5), 901-928. Search in Google Scholar

Murphy, K. R. (2020). Performance evaluation will not die, but it should. Human Resource Management Journal, 30(1), 13-31. Search in Google Scholar

Meijerink, J. G., Beijer, S. E., & Bos-Nehles, A. C. (2022). A meta-analysis of mediating mechanisms between employee reports of human resource management and employee performance: different pathways for descriptive and evaluative reports?. In Strategic Human Resource Management and Organizational Effectiveness (pp. 170-218). Routledge. Search in Google Scholar

DeNisi, A. S., & Murphy, K. R. (2017). Performance appraisal and performance management: 100 years of progress?. Journal of applied psychology, 102(3), 421. Search in Google Scholar

Kampkötter, P. (2017). Performance appraisals and job satisfaction. The International Journal of Human Resource Management, 28(5), 750-774. Search in Google Scholar

XU, J., & Lang, P. E. I. (2019). Research of teacher’s performance evaluation model based on AHP and improved PSO-BP neural network. Quality engineering, 31, 0-644. Search in Google Scholar

Xu, J., & Li, J. (2024, July). Research on enterprise performance evaluation and prediction based on BP neural network. In Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024) (Vol. 13181, pp. 2128-2134). SPIE. Search in Google Scholar

Wu, Y. C., & Feng, J. W. (2018). Development and application of artificial neural network. Wireless Personal Communications, 102, 1645-1656. Search in Google Scholar

Abdolrasol, M. G., Hussain, S. S., Ustun, T. S., Sarker, M. R., Hannan, M. A., Mohamed, R., ... & Milad, A. (2021). Artificial neural networks based optimization techniques: A review. Electronics, 10(21), 2689. Search in Google Scholar

Panda, S., & Panda, G. (2020). Performance evaluation of a new BP algorithm for a modified artificial neural network. Neural Processing Letters, 51(2), 1869-1889. Search in Google Scholar

Cappelli, P., & Conyon, M. J. (2018). What do performance appraisals do?. ILR Review, 71(1), 88-116. Search in Google Scholar

Gui, X. (2020). Performance appraisal of business administration based on artificial intelligence and convolutional neural network. Journal of Intelligent & Fuzzy Systems, 39(2), 1817-1829. Search in Google Scholar

Liang, W., & Li, T. (2020). Research on human performance evaluation model based on neural network and data mining algorithm. EURASIP Journal on Wireless Communications and Networking, 2020(1), 174. Search in Google Scholar

Zhong, K., Wang, Y., Pei, J., Tang, S., & Han, Z. (2021). Super efficiency SBM-DEA and neural network for performance evaluation. Information Processing & Management, 58(6), 102728. Search in Google Scholar

Seong Bae Pak,Jin Beom Kim & Il Seouk Park. (2024). Optimization of the flow channel in proton exchange membrane fuel cells using multi-regression surrogate model based on artificial neural network. International Communications in Heat and Mass Transfer107808-107808. Search in Google Scholar

Kavan Shah,Krishna Kiran Talamadupula,Pinar Acar & Gary D. Seidel. (2024). Reduced-order model for multiphysics simulations of CNT/Polymer Composites via principal component regression and artificial neural networks. Computational Materials Science113200-113200. Search in Google Scholar

Songmei Wang & Min Han. (2024). Rural Revitalization Evaluation using a Hybrid Method of BP Neural Network and Genetic Algorithm Based on Deep Learning Model. International Journal of Advanced Computer Science and Applications (IJACSA)(2). Search in Google Scholar

Qingwang Li,Feng Cheng & Xinran Zhang. (2024). Numerical Simulation and Deformation Prediction of Deep Pit Based on PSO-BP Neural Network Inversion of Soil Parameters. Sensors(10). Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro