Identification of Takagi-Sugeno (TS) fuzzy model with Evolutionary Parallel Gradient Search
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Bibliographic record
Abstract
In this paper the modeling of nonlinear system with TS fuzzy model is discussed. The identification of TS fuzzy model is first posed as an optimization problem and a new hybrid optimization algorithm- referred to as Evolutionary Parallel Gradient Search (EPGS) is applied to find the optimal values of the parameters in the fuzzy model. The main feature of EPGS is its ability to deal with the local minima problem in global optimization. By using the gradient information of cost function, EPGS combines gradient-based algorithm and Evolutionary Algorithm (EA) in an innovative way such that EA is used to keep the best searches at every step in the optimization process and the gradient descent method is used to update these best searches. The application of EPGS in the parameter estimation problem of TS fuzzy models shows excellent performance in terms of modeling accuracy.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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