Neural computing & applications, 2021-05, Vol.33 (9), p.4013-4025
2021
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- Autor(en) / Beteiligte
- Titel
- Exploring resource management for innovation power network based on deep learning algorithm
- Ist Teil von
- Neural computing & applications, 2021-05, Vol.33 (9), p.4013-4025
- Ort / Verlag
- London: Springer London
- Erscheinungsjahr
- 2021
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- Innovation network is an autocatalytic network; however, there are several factors that affect the process and result. In the beginning, the innovation is very difficult due to certain blocked factors. Based on the machine learning network resource fusion algorithm, this paper conducts research on the innovation process and innovation driving force based on autocatalytic network. An autocatalytic network is introduced to explain the innovation process, including the evolutionary mechanism, evolution law, and the critical property of system innovation. It is concluded that the key of innovation is to unlock some key effect factors in core or find the key factors that connect different innovation. At last, the evolution law and the critical point are given, which could make us make sound and timely decisions.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0941-0643eISSN: 1433-3058DOI: 10.1007/s00521-020-05446-wTitel-ID: cdi_proquest_journals_2516608017
- Format
- –
- Schlagworte
- Algorithms, Artificial Intelligence, Collaboration, Competition, Competitive advantage, Computational Biology/Bioinformatics, Computational Science and Engineering, Computer Science, Cooperation, Critical point, Data Mining and Knowledge Discovery, Deep learning, Evolution, Horizontal integration, Image Processing and Computer Vision, Innovations, Knowledge management, Machine learning, Probability and Statistics in Computer Science, Product development, Product life cycle, R&D, Research & development, Resource management, S.I. : SPIoT 2020, Special Issue on 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020)