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Hybrid Discriminant Neural Networks for Bankruptcy Prediction and Risk Scoring.

, and . ANT/SEIT, volume 83 of Procedia Computer Science, page 670-674. Elsevier, (2016)

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Coordination by sharing demand forecasts in a supply chain using game theoretic approach., , and . CIST, page 122-127. IEEE, (2016)Towards a Context-aware Framework for Assessing and Optimizing Data Quality Projects., , , and . DATA, page 189-194. SciTePress, (2015)Artificial neural networks for demand forecasting: Application using Moroccan supermarket data., , and . ISDA, page 266-271. IEEE, (2015)Hybrid Discriminant Neural Networks for Bankruptcy Prediction and Risk Scoring., and . ANT/SEIT, volume 83 of Procedia Computer Science, page 670-674. Elsevier, (2016)Game theory to control logistic costs in a two-echelon supply chain., and . GOL, page 168-170. IEEE, (2014)A Combination of Regression Techniques and Cuckoo Search Algorithm for FOREX Speculation., , and . WorldCIST (1), volume 569 of Advances in Intelligent Systems and Computing, page 226-235. Springer, (2017)Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand., , and . GOL, page 171-175. IEEE, (2014)Topology design of bankruptcy prediction neural networks using Particle swarm optimization and backpropagation., and . LOPAL, page 49:1-49:6. ACM, (2018)Efficient Optimization of Neural Networks for Predictive Hiring : An In-Depth Approach to Stochastic Gradient Descent., and . CNIOT, ACM, (2024)Information Sharing as a Coordination Tool in Supply Chain Using Multi-agent System and Neural Networks., , and . WorldCIST (1), volume 745 of Advances in Intelligent Systems and Computing, page 626-632. Springer, (2018)