Skip to main content

Table 8 Mean absolute deviation of different methods for SODE

From: A novel improved extreme learning machine algorithm in solving ordinary differential equations by Legendre neural network methods

ODEs EM R-K4 CNN(IELM) LNN
Example 9 \(y_{1}\) 0.018838 2.247437e–10 0.005677 2.726976e–11
\(y_{2}\) 0.046376 5.494596e–10 0.021612 4.481164e–11
Example 10 \(y_{1}\) 0.001791 1.411037e–10 0.003651 2.296702e–12
\(y_{2}\) 0.001202 1.041297e–10 0.006159 1.792269e–12