Lead-bismuth reactor subchannel program optimization neural network training dataset

The optimized target value of the exit temperature for each subchannel, i.e., the CFD-calculated exit channel temperature, totaling 42 output variables (42 columns in the back of the file).

A total of 30 rows of data representing 30 training groups.In the test set file: the working condition parameter, i.e., inlet mass flow rate M, and the subchannel-calculated outlet channel temperature, totaling 43 variables, are used as inputs to the neural network (columns 1-43 in the file). The exact value of the exit temperature of each subchannel, i.e., the CFD-calculated exit channel temperature, totaling 42 output variables (42 columns in the back of the file).