Abstract
Technological innovation resources are the most critical basis for enterprises to obtain competitive advantages, and technological innovation resources play a pivotal role in enterprise technological innovation activities. Nowadays, China’s economy is in a period of multiple strategic opportunities. Especially in recent years, local government departments and small and medium-sized enterprises have become more and more aware of the necessity of strengthening the allocation of business innovation resources. In view of this, this article studies the intelligent algorithm for the automatic classification of innovation and entrepreneurship resources based on blockchain technology, and understands the relevant theories of innovation and entrepreneurship resources on the basis of literature data, and then automatically classifies the innovation and entrepreneurship resources based on blockchain technology. The intelligent algorithm is designed, and the algorithm is tested, and the detection result shows that the algorithm in this paper has a good classification accuracy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Maurya, S.: How to find an investor for startup? Dataquest 35(10), 74 (2017)
Isiaka, F., Mwitondi, K.S., Ibrahim, A.M.: Detection of natural structures and classification of HCI-HPR data using robust forward search algorithm. Int. J. Intell. Comput. Cybern. 9(1), 23–41 (2016)
Cong, H.: Personalized recommendation of film and television culture based on an intelligent classification algorithm. Pers. Ubiquit. Comput. 24(2), 165–176 (2019). https://doi.org/10.1007/s00779-019-01271-8
Potts, J., Davidson, S., Berg, C.: Blockchain innovation and public policy. J. Entrep. Public Policy 9(2), 149–151 (2020)
Felix, O., Márquez, S., Ortiz, R., Giovanni, E.: Innovation and entrepreneurship: fallacies and disenchantments. Int. J. Entrep. 25(6), 1–11 (2021)
Fuentes, C.D., Farrell, E., Santiago, F.: Special issue on innovation and entrepreneurship as drivers of competitiveness and growth. Int. J. Work Innov. 2(1), 1–5 (2017)
Yasin, A., Abuhasan, A.: An intelligent classification model for phishing email detection. Int. J. Netw. Secur. Appl. 8(4), 55–72 (2016)
Ahmadi, A., Mitchell, E., Richter, C., et al.: Toward automatic activity classification and movement assessment during a sports training session. IEEE Internet Things J. 2(1), 23–32 (2017)
Jeyaraj, P.R., Nadar, E.: Computer vision for automatic detection and classification of fabric defect employing deep learning algorithm. Int. J. Cloth. Sci. Technol. 31(4), 510–521 (2019)
Ghasemi, E., Kalhori, H., Bagherpour, R.: Stability assessment of hard rock pillars using two intelligent classification techniques: a comparative study. Tunn. Undergr. Space Technol. 68(Oct), 32–37 (2017)
Hameed, N., Shabut, A.M., Ghosh, M.K., et al.: Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques. Expert Syst. Appl. 141(Mar), 112961.1–112961.18 (2020)
Worsey, M., Pahl, R., Espinosa, H.G., et al.: Is Machine learning and automatic classification o swimming data what unlocks the power of inertial measurement units in swimming? J. Sports Sci. 39, 1–20 (2021)
Acknowledgements
This work was supported by the Zhanjiang non-funded Technology Project: DESIGN OF CRM Hotel Management System and intelligent information push based on BPP neural network (project number: 2021B01482); Zhanjiang non-funded Technology Project: design and implementation of financial learning system based on computer simulation technology (project ID: 2021B01530).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Tang, L. (2022). Intelligent Algorithms for Automatic Classification of Innovation and Entrepreneurship Resources Based on Blockchain Technology. In: Sugumaran, V., Sreedevi, A.G., Xu, Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-031-05237-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-031-05237-8_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-05236-1
Online ISBN: 978-3-031-05237-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)