Narrow Results

In order to deeply analyze the feasibility and optimization strategies of this model in vocational education, this paper focuses on the application of embedded neural network technology. By comparing with other talent cultivation models, especially delving into the essence of project-based teaching, this paper defines the practical, refined, and entrepreneurial characteristics unique to project-based teaching under modern apprenticeship systems. These characteristics constitute the core competitiveness of the advanced apprenticeship training model. This paper emphasizes the establishment of a quality management system based on standards, rigorous processes, and customized solutions. Embedded neural networks, with their powerful data processing and pattern recognition capabilities, help this paper reveal the significant advantages of this training model in resource integration, personalized teaching, skill inheritance, and market docking.

The article states a list of venture capitalists in Shanghai.

We run through the operation mechanism of open innovation and analyse network crowdsourcing from the perspective of overall innovation system, which considers public providers, corporate requestors, network platforms and virtual crowdsourcing communities throughout the entire operation of network crowdsourcing system. By demonstrating the definition of crowdsourcing capability, we advance towards a capability-perspective for network crowdsourcing system. Crowdsourcing capability is an integrative concept, which has business requestors’ capability, network platform capability and public creativity. On this basis, we study the formation mechanism of crowdsourcing capability from the perspective of knowledge sharing and value network. Overall, it contributes to explaining operation rules of network crowdsourcing system and describing different participant’s collaborative innovation and create value together.