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Accommodation to outliers in identification of non linear SISO systems with neural networks., , and . Neurocomputing, 14 (1): 85-99 (1997)Relearning procedure to adapt pollutant prediction neural model: Choice of relearning algorithm., , and . IJCNN, page 1-8. IEEE, (2019)Source and Sink Transitions Controllers for Continuous Petri Nets: A Gradient-Based Approach., , , and . ADHS, volume 36 of IFAC Proceedings Volumes, page 193-198. Elsevier, (2003)Neural Network Inverse Model for Quality Monitoring - Application to a High Quality Lackering Process., , , , , and . IJCCI, page 186-191. SciTePress, (2017)Assessment of the expected number and frequency of failures of periodically tested systems., , , , , and . Reliab. Eng. Syst. Saf., (2013)Optimal neural networks architectures for the flow-density relationships of traffic models., , , and . Math. Comput. Simul., 60 (3-5): 401-409 (2002)A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events., , , , , and . CoRR, (2020)Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron: Application to a Sawmill Supply Chain Simulation Model., , and . Adv. Artificial Neural Systems, (2013)An image is worth 10,000 points: Neural network architectures and alternative log representations for lumber production prediction., , , , , and . Comput. Ind., (October 2023)Demand Forecasting using Artificial Neuronal Networks and Time Series: Application to a French Furniture Manufacturer Case Study., , and . IJCCI, page 502-507. ScitePress, (2019)