Novel Optical Implementations of Reservoir Computing with Single or Limited Number of Neurons, M.Sc. Thesis Sharif University of Technology ; Mehrany, Khashayar (Supervisor) ; Memarian, Mohammad (Supervisor)
Abstract
Artificial neural networks are systems based on the brain’s functionality which in many cases are able to process highly complex computational tasks like speech recognition, image recognition ,and time series prediction. Due to the complexity of training algorithms in recurrent neural networks, reservoir computers have significant importance in machine learning.Due to low power consumption and crosstalk, high bandwidth and high-speed computing in optics, reservoir computing has proceeded to optical implementations. A reservoir computer consists of three layers: the input layer, reservoir, and output layer. A recurrent neural network is usually used as the reservoir in reservoir computers....
Cataloging briefNovel Optical Implementations of Reservoir Computing with Single or Limited Number of Neurons, M.Sc. Thesis Sharif University of Technology ; Mehrany, Khashayar (Supervisor) ; Memarian, Mohammad (Supervisor)
Abstract
Artificial neural networks are systems based on the brain’s functionality which in many cases are able to process highly complex computational tasks like speech recognition, image recognition ,and time series prediction. Due to the complexity of training algorithms in recurrent neural networks, reservoir computers have significant importance in machine learning.Due to low power consumption and crosstalk, high bandwidth and high-speed computing in optics, reservoir computing has proceeded to optical implementations. A reservoir computer consists of three layers: the input layer, reservoir, and output layer. A recurrent neural network is usually used as the reservoir in reservoir computers....
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