Modeling of the Three-way Catalytic Converter by Recurrent Neural Networks
Modeling of the Three-way Catalytic Converter by Recurrent Neural Networks is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include recurrent neural network, natural language processing, artificial intelligence, artificial neural network, proton exchange membrane fuel cell, black box, machine learning, calibration, transfer of learning, materials informatics industry, and computer science. For offline development and calibration of On-Board Diagnosis functions of the exhaust gas aftertreatment system a model of the three-way catalytic converter is essential.