A Parameter Search Method For Optimal Efficiency Design Of High Power Millimeter Wave Gyrotron TWT

This paper introduces a method for searching the optimal efficiency parameters of high-power millimeter wave gyrotron based on BP neural network prediction. This method can establish the prediction model through the actual design gyrotron test data, and optimize the prediction model through the global optimization algorithm to obtain the optimal efficiency design parameters. This method can effectively extract accurate and effective information from the test data and feed back to the designers.