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Research on Innovation Ecosystem of Dairy Industry Cluster Based on Machine Learning and Improved Neural Network
Yang Hui1, Yanni Jiao1, Can Cui1
1College of Economics and Management, Northeast Agricultural University, Heilongjiang, Harbin, China.
Computational Intelligence and Neuroscience
|April 14, 2022
Summary
Industrial clusters are key to economic development, driving regional growth and industrial transformation. Simulation shows their evolution mirrors market dynamics, requiring government and market guidance for optimal ecosystem development.
Area of Science:
- Economic Geography
- Industrial Organization
- Regional Economics
Background:
- Industrial clusters are a dominant global economic development trend.
- They foster cooperation, enhance market competition, and guide regional industrial transfer.
- In China, industrial clusters are crucial for economic transformation and balanced industrial layout.
Purpose of the Study:
- To simulate the evolution path of industrial clusters.
- To establish a relevant data model for industrial cluster dynamics.
- To provide conclusions and suggestions based on simulation verification.
Main Methods:
- Simulation of industrial cluster evolution path.
- Establishment of a dynamic data model.
- Repast simulation for verification and analysis.
Main Results:
- Industrial cluster ecosystems exhibit distinct characteristics at different evolutionary stages.
- The formation and evolution of industrial clusters reflect broader market development.
- Simulation results validate the dynamic model's ability to represent industrial cluster theory.
Conclusions:
- Government guidance and market regulation are essential for accelerating industrial cluster ecosystem formation and scaling.
- Understanding cluster evolution is vital for effective industrial policy and economic development strategies.
- Dynamic modeling provides insights into the complex interplay of factors driving industrial cluster growth.
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