Research on Intelligent Sensor Networks Based on Machine Learning Algorithms in Advance Financing Modeling

Authors

  • Yichi Zhang Mathematics and Computer Science, University of California, San Diego, California, US, 92092

DOI:

https://doi.org/10.70917/jnic-2026-0196

Keywords:

advance payment financing model; artificial fish swarm algorithm; financing strategy; forbidden search

Abstract

This paper conforms to the development characteristics of the digital era and studies the improvement and application of artificial fish swarm algorithm in the advance financing model. Firstly, the relevant parameters are defined and the bank financing model is constructed. Subsequently, the artificial fish swarm algorithm with good ability to find global extreme value is selected and optimized by integrating taboo search. Combine the above to complete the construction of the prepayment financing model. The solution process of the model algorithm is presented through specific numerical examples. Finally, the model is used to analyze the financing strategy of farmers and the financing strategy of manufacturing suppliers to verify the effectiveness of the prepayment financing model. The study points out that in the prepayment financing of manufacturing suppliers, the price discount coefficient is less than 0.42 when the demand fluctuation is low, which can make the manufacturer and retailer profits reach Pareto optimization. The feasibility of the prepayment financing model in real case applications is demonstrated.

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Published

2026-06-05

How to Cite

Yichi Zhang. (2026). Research on Intelligent Sensor Networks Based on Machine Learning Algorithms in Advance Financing Modeling. Journal of Network and Innovative Computing, 14, 15. https://doi.org/10.70917/jnic-2026-0196

Issue

Vol. 14 (2026)

Section

Original Article

License

Copyright (c) 2026 Yichi Zhang

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