Learning differential evolution (DE) algorithms are widely adopted to address flexible job-shop scheduling problems (FJSPs) because of the optimization ability. However, traditional learning DEs are ...

By analyzing the information presented in Table 9, it was determined that the optimal ANN for developing the predictive flow pattern model for two-phase (oil-water) flow in a horizontal pipe is the ...

Aiming to ensure the feasibility of the backpropagation training of feedforward threshold neural networks, each hidden unit layer is designed to be composed of a sufficiently large number of ...