An Improved Neural Network Model for Nonlinear Aeroelastic Analysis
Why this work is in the frame
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Bibliographic record
Abstract
An improved neural network-based method for predicting nonlinear oscillations in the aeroelastic response is presented. An articial neural network is trained using the limited available information of a short transient data set, and the asymptotic state of the signal is reconstructed by a multi-step (or recursive) prediction process. An enhanced two-layer feedforward neural network with features that control the propagation of the prediction errors is designed. Methods for consistently choosing the number of network inputs and of neurons in the hidden layer for a given application are reported. The proposed predictor has been applied to wind-tunnel experimental data that model an oscillating airfoil with polynomial restoring forces, as well as to signals generated numerically by solving a dieren tial system that models a self-excited two-degree-of-freedom airfoil oscillating in pitch and plunge.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it