Simultaneous perturbation stochastic approximation based neural networks for online learning

2005 ◽  
Author(s):  
Min Chee Choy ◽  
Dipti Srinivasan ◽  
Ruey Long Cheu
Keyword(s):  
Neural Networks ◽  
Online Learning ◽  
Stochastic Approximation ◽  
Simultaneous Perturbation Stochastic Approximation

scholarly journals Spiking Neural Networks and online learning: An overview and perspectives

2020 ◽  
Vol 121 ◽  
pp. 88-100 ◽  
Author(s):  
Jesus L. Lobo ◽  
Javier Del Ser ◽  
Albert Bifet ◽  
Nikola Kasabov
Keyword(s):  
Neural Networks ◽  
Online Learning ◽  
Spiking Neural Networks

Maximum Power Point Tracking of Multi-String Photovoltaic Array via Simultaneous Perturbation Stochastic Approximation

2013 ◽  
Author(s):  
Yan Xiao ◽  
Yaoyu Li ◽  
John E. Seem ◽  
Kaushik Rajashekara
Keyword(s):  
Stochastic Approximation ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Pv System ◽  
Maximum Power Point ◽  
Simultaneous Perturbation Stochastic Approximation ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper presents a Maximum Power Point Tracking (MPPT) strategy for multi-string photovoltaic (PV) systems using the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm. The multi-string PV system considered is a decentralized control configuration, controlling the voltage reference to each PV module but based on the feedback of the total power at the DC bus. This requires only one pair of voltage and current measurements. The MPPT control problem for such topology of multi-string PV systems features a high input dimension, which can dramatically slow down the searching process for the real-time optimization process involved. The SPSA algorithm is considered in this study due to its remarkable capability of fast convergence for high dimensional search problems endorsed by various applications recently. Simulation study is performed for an 8-string PV system, and experimental study is performed for a 4-string PV system. Good performances are observed for both simulation and experimental results.

GST-memristor-based online learning neural networks

2018 ◽  
Vol 272 ◽  
pp. 677-682 ◽  
Author(s):  
Shuixin Xiao ◽  
Xudong Xie ◽  
Shiping Wen ◽  
Zhigang Zeng ◽  
Tingwen Huang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Online Learning
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