Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil

<div>Illustration of the DNN network used in this study, including 10 input nodes, hidden layers, and one output node.</div>

Mathematical Problems in Engineering

fig5

Figure 5

Figure 5: Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil 

Figure 5 | Evolution of Deep Neural Network Architecture Using Particle Swarm Optimization to Improve the Performance in Determining the Friction Angle of Soil 