18492675. RAMAN PUMP DESIGN USING MACHINE-LEARNING APPROACHES (Fujitsu Limited)
RAMAN PUMP DESIGN USING MACHINE-LEARNING APPROACHES
Organization Name
Inventor(s)
Paparao Palacharla of Richardson TX US
Youichi Akasaka of Plano TX US
Olga I. Vassilieva of Plano TX US
RAMAN PUMP DESIGN USING MACHINE-LEARNING APPROACHES
This abstract first appeared for US patent application 18492675 titled 'RAMAN PUMP DESIGN USING MACHINE-LEARNING APPROACHES
Original Abstract Submitted
A method may include generating training data corresponding to operation of a Raman pump system. The training data may include input parameters specifying Raman pump parameters and channel launch powers corresponding to respective transmission band channels and an output parameter specifying a Raman pump gain profile of the transmission band channels of the Raman pump system. The method may include training a neural network to output inferred input parameters for the Raman pump system given a specified Raman pump gain profile. The neural network may include an auto-encoder having an input layer with input nodes representing the Raman pump gain profile and the channel launch powers, one or more intermediate layers with intermediate nodes representing the Raman pump parameters and the channel launch powers, and an output layer with output nodes representing the Raman pump gain profile and the channel launch powers.