Results 211 to 220 of about 9,506 (241)
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Artificial Neural Network Modeling of a Synchronous Reluctance Motor
2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA), 2022Turan Alp Sarikaya +2 more
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A robust artificial neural network based speed/voltage regulator for synchronous generators
Proceedings of the IEEE International Symposium on Industrial Electronics, 2002The paper presents a novel coordinated excitation/governor artificial neural network (ANN) based controller for AC synchronous generators. The proposed ANN based controller replaces the full global action of the voltage regulator, power system stabilizer, and speed governor controls.
A.M. Sharof, T.T. Lie
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An artificial neural network model for generating periodic signals by synchronizing external stimuli
Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143), 2002A living body has self-organized information processing systems in their nerve system. They construct various internal models of the environment autonomically. Periodic behaviors, such as circadian rhythm, locomotion of limbs in walking and tapping, come from these internal pattern generators. They obtain the periodic signal by use of external stimuli,
K. Fujimoto +4 more
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International Journal of Neural Systems, 1991
Pulse-density modulation technique offers a very effective and robust method to implement artificial neural network structures, because it mimics some biological features of neuron action. In this paper various Integrated Circuit (IC) implementations based on the pulse-density modulation technique are explored.
Jouni Tomberg, Kimmo Kaski
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Pulse-density modulation technique offers a very effective and robust method to implement artificial neural network structures, because it mimics some biological features of neuron action. In this paper various Integrated Circuit (IC) implementations based on the pulse-density modulation technique are explored.
Jouni Tomberg, Kimmo Kaski
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Biomedical Engineering: Applications, Basis and Communications, 2015
In the present study, "obstructive sleep apnea (OSA) patients" and "non-OSA patients" were classified into two groups using with two synchronic heart rate variability (HRV) series obtained from electrocardiography (ECG) and photoplethysmography (PPG) signals.
Eroğul, Osman +4 more
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In the present study, "obstructive sleep apnea (OSA) patients" and "non-OSA patients" were classified into two groups using with two synchronic heart rate variability (HRV) series obtained from electrocardiography (ECG) and photoplethysmography (PPG) signals.
Eroğul, Osman +4 more
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Modélisation et conception par approche synchrone d'architectures neuronales hybrides biologique-artificiel Alors que les Réseaux de Neurones Artificiels (RNA) continuent de progresser dans des domaines tels que l'apprentissage automatique, la robotique, les véhicules autonomes et le diagnostic de santé, un nouveau cadre d'application ...
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Artificial Neural Networks Based Optimization Techniques: A Review
Electronics (Switzerland), 2021Mahidur R Sarker +2 more
exaly
Phase synchronization and chaotic dynamics in Hebbian learned artificial recurrent neural networks
2005info:eu-repo/semantics ...
Molter, Colin +2 more
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Artificial neural networks in microgrids: A review
Engineering Applications of Artificial Intelligence, 2020Alberto Coronado-Mendoza +2 more
exaly