Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network

Table 2

The setting of the basic parameters of BP neural network model.

Basic parameters of BP neural network	Parameter setting
Structure	Three-layer, 6-10-1
Transfer function	tansig, purelin
Performance function	Mean square error of training samples
Algorithm	Gradient descent with momentum and adaptive learning rate backpropagation
Momentum coefficient	0.9
Initial value of learning rate	0.05
Ratio to increase learning rate	1.05
Ratio to decrease learning rate	0.7
Maximum performance increase	1.04
Performance goal	0.001
Maximum number of epochs to train	5000