The Analysis of Credit Risks in Agricultural Supply Chain Finance Assessment Model Based on Genetic Algorithm and Backpropagation Neural Network
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
The Analysis of Credit Risks in Agricultural Supply Chain Finance Assessment Model Based on Genetic Algorithm and Backpropagation Neural Network
Authors
Keywords
-
Journal
Computational Economics
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-06-20
DOI
10.1007/s10614-021-10137-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Intelligent diagnosis of natural gas pipeline defects using improved flower pollination algorithm and artificial neural network
- (2020) Xiaobin Liang et al. JOURNAL OF CLEANER PRODUCTION
- Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
- (2019) You Zhu et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Research on financial risk management model of internet supply chain based on data science
- (2019) Qifeng Yang et al. Cognitive Systems Research
- Comparison of GA-BP and PSO-BP neural network models with initial BP model for rainfall-induced landslides risk assessment in regional scale: a case study in Sichuan, China
- (2019) Chonghao Zhu et al. NATURAL HAZARDS
- Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction
- (2019) Yanni Peng et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Wind Predictions Upstream Wind Turbines from a LiDAR Database
- (2018) et al. Energies
- Mold breakout prediction in slab continuous casting based on combined method of GA-BP neural network and logic rules
- (2018) Fei He et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A link prediction method for heterogeneous networks based on BP neural network
- (2018) Ji-chao Li et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Decision-making model for sustainable supply chain finance under uncertainties
- (2018) Ming-Lang Tseng et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- How to balance the relationship between conservation of Important Agricultural Heritage Systems (IAHS) and socio-economic development? A theoretical framework of sustainable industrial integration development
- (2018) Yongxun Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Credit Evaluation System Based on Blockchain for Multiple Stakeholders in the Food Supply Chain
- (2018) Dianhui Mao et al. International Journal of Environmental Research and Public Health
- Application of Bayesian Regularization Artificial Neural Network in explosion risk analysis of fixed offshore platform
- (2018) Jihao Shi et al. JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
- Research on prediction model of geotechnical parameters based on BP neural network
- (2018) Kai Cui et al. NEURAL COMPUTING & APPLICATIONS
- A Global Optimization-Based Method for the Prediction of Water Inrush Hazard from Mining Floor
- (2018) Dan Ma et al. Water
- Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network
- (2017) Yu-Rong Zeng et al. ENERGY
- Trade Credit, Risk Sharing, and Inventory Financing Portfolios
- (2017) S. Alex Yang et al. MANAGEMENT SCIENCE
- Renewable energy investment risk evaluation model based on system dynamics
- (2017) Ximei Liu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Supply chain risk management in financial crises—A multiple case-study approach
- (2011) Constantin Blome et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started