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Prediction of Highly Non-stationary Time Series Using Higher-Order Neural Units.

, , , , и . 3PGCIC, том 13 из Lecture Notes on Data Engineering and Communications Technologies, стр. 787-795. Springer, (2017)

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Jirí Mencák

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Prediction of Highly Non-stationary Time Series Using Higher-Order Neural Units., , , , и . 3PGCIC, том 13 из Lecture Notes on Data Engineering and Communications Technologies, стр. 787-795. Springer, (2017)Adaptive evaluation of complex time series using nonconventional neural units., и . IEEE ICCI, стр. 128-137. IEEE Computer Society, (2008)Knowledge Discoveries and Emergent Synthesis in Conceptual ReDesign Process., и . CIMCA/IAWTIC, стр. 537-543. IEEE Computer Society, (2005)Quadratic neural unit and its network in validation of process data of steam turbine loop and energetic boiler., , и . IJCNN, стр. 1-7. IEEE, (2010)Detection of the QRS Complexity in Real Time with Bluetooth Communication., , и . 3PGCIC, том 158 из Lecture Notes in Networks and Systems, стр. 429-439. Springer, (2020)Review on Higher-Order Neural Units to Monitor Cardiac Arrhythmia Patterns., , , , , и . ICADIWT, том 300 из Frontiers in Artificial Intelligence and Applications, стр. 219-231. IOS Press, (2017)Adaptive Analysis of Electrocardiogram Prediction Using a Dynamic Cubic Neural Unit., , , и . AINA (3), том 451 из Lecture Notes in Networks and Systems, стр. 431-440. Springer, (2022)Neural Network with L-M Algorithm for Arrhythmia Disease Classification., , и . 3PGCIC, том 343 из Lecture Notes in Networks and Systems, стр. 309-318. Springer, (2021)Adaptive Methodology for Designing a Predictive Model of Cardiac Arrhythmia Symptoms Based on Cubic Neural Unit., , , , , и . ICADIWT, том 300 из Frontiers in Artificial Intelligence and Applications, стр. 232-239. IOS Press, (2017)Adaptive Threshold, Wavelet and Hilbert Transform for QRS Detection in Electrocardiogram Signals., , , , и . 3PGCIC, том 13 из Lecture Notes on Data Engineering and Communications Technologies, стр. 777-786. Springer, (2017)