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Pipeline FPGA-Based Implementations of ANNs for the Prediction of up to 600-Steps-Ahead of Chaotic Time Series.

, , , , and . J. Circuits Syst. Comput., 30 (9): 2150164:1-2150164:21 (2021)

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FPGA-based implementation of different families of fractional-order chaotic oscillators applying Grünwald-Letnikov method., , , , and . Commun. Nonlinear Sci. Numer. Simul., (2019)Prediction of chaotic time series by using ANNs, ANFIS and SVMs., , and . MOCAST, page 1-4. IEEE, (2018)On the Verification for Realizing Multi-scroll Chaotic Attractors with High Maximum Lyapunov Exponent and Entropy., , , , , and . Advances and Applications in Chaotic Systems, volume 636 of Studies in Computational Intelligence, Springer, (2016)Pipeline FPGA-Based Implementations of ANNs for the Prediction of up to 600-Steps-Ahead of Chaotic Time Series., , , , and . J. Circuits Syst. Comput., 30 (9): 2150164:1-2150164:21 (2021)A Multistable Chaotic Jerk System with Coexisting and Hidden Attractors: Dynamical and Complexity Analysis, FPGA-Based Realization, and Chaos Stabilization Using a Robust Controller., , , , , , and . Symmetry, 12 (4): 569 (2020)Electronic System for Chaotic Time Series Prediction Associated to Human Disease., , and . ICHI, page 323-327. IEEE Computer Society, (2018)FPGA realization of multi-scroll chaotic oscillators., , , , and . Commun. Nonlinear Sci. Numer. Simul., 27 (Issues): 66-80 (2015)Adaptive Model IoT for Monitoring in Data Centers., , , , , , and . IEEE Access, (2020)Prediction of chaotic time-series with different MLE values using FPGA-based ANNs., , , , , and . SMACD, page 1-4. IEEE, (2017)