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Towards Fast and Understandable Computations : Which “And”- and “Or”-Operations Can Be Represented by the Fastest (i.e., 1-Layer) Neural Networks? Which Activations Functions Allow Such Representations?

, , , , , , and . Acta polytechnica hungarica, 18 (2): 27-45 (2021)
DOI: 10.12700/APH.18.2.2021.2.2

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Discrete LPV Modeling of Diabetes Mellitus for Control Purposes., , , , and . SMC, page 2558-2563. IEEE, (2018)Model-based healthcare applications at Óbuda University., , , , , , , , , and 3 other author(s). SACI, page 183-187. IEEE, (2014)Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus., , , , and . SMC, page 1408-1413. IEEE, (2019)Teacher's Kit: Development, Usability, and Communities of Modular Robotic Kits for Classroom Education., , , , and . IEEE Robot. Automat. Mag., 23 (2): 30-39 (2016)Physiological modeling and control at Obuda University., , , , , , , and . SACI, page 21-25. IEEE, (2015)Why Squashing Functions in Multi-Layer Neural Networks, , , , , , and . 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), page 1705-1711. Piscataway, IEEE, (2020)Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming., , , , and . Complexity, (2018)Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method., , , , and . SMC, page 1390-1395. IEEE, (2019)Corrigendum to "Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming"., , , , and . Complexity, (2018)Prediction of the Survival of Patients with Cardiac Failure by Using Soft Computing Techniques., , , , and . SACI, page 201-206. IEEE, (2018)