Research Article
A Crash Severity Prediction Method Based on Improved Neural Network and Factor Analysis
Table 2
Summary of training functions.
| No. | Function name | Abbreviation |
| 1 | BFGS quasi-Newton backpropagation | BFGS | 2 | Conjugate gradient backpropagation with Powell-Beale restarts | CGB | 3 | Conjugate gradient backpropagation with Fletcher–Reeves updates | CGF | 4 | Conjugate gradient backpropagation with Polak–Ribiere updates | CGP | 5 | Gradient descent backpropagation | GD | 6 | Gradient descent with adaptive learning rate backpropagation | GDA | 7 | Gradient descent with momentum | GDM | 8 | Gradient descent w/momentum and adaptive learning rate backpropagation | GDX | 9 | One-step secant backpropagation | OSS | 10 | RPROP backpropagation | RP | 11 | Scaled conjugate gradient backpropagation | SCG | 12 | Levenberg–Marquardt backpropagation | LM | 13 | Bayesian regulation backpropagation | BR |
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