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Live demonstration: Memristor synaptic array with FPGA-implemented neurons for neuromorphic pattern recognition.

, , , , , and . APCCAS, page 742-743. IEEE, (2016)

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Neuromorphic Character Recognition using The Single Memristor Crossbar Array., and . ICSSE, page 433-436. IEEE, (2021)Forecasting Time-Series Energy Data in Buildings Using an Additive Artificial Intelligence Model for Improving Energy Efficiency., , and . Comput. Intell. Neurosci., (2021)New pulse amplitude modulation for fine tuning of memristor synapses., , , , , and . Microelectron. J., (2016)Memristor Crossbar Circuits for Neuromorphic pattern Recognition., and . ISOCC, page 221-222. IEEE, (2021)Hybrid machine learning for predicting strength of sustainable concrete., , , and . Soft Comput., 24 (19): 14965-14980 (2020)Memristor-based cellular nanoscale networks: Theory, circuits, and applications., , , , , and . ISCAS, page 1134-1137. IEEE, (2015)Live demonstration: Memristor synaptic array with FPGA-implemented neurons for neuromorphic pattern recognition., , , , , and . APCCAS, page 742-743. IEEE, (2016)Memristor circuits and systems for future computing and bio-inspired information processing., , , and . BioCAS, page 456-459. IEEE, (2016)Quantization, training, parasitic resistance correction, and programming techniques of memristor-crossbar neural networks for edge intelligence., , , , and . Neuromorph. Comput. Eng., 2 (3): 32001 (2022)Hybrid Machine Learning for Time-Series Energy Data for Enhancing Energy Efficiency in Buildings., , , , and . ICCS (5), volume 12746 of Lecture Notes in Computer Science, page 273-285. Springer, (2021)