A Robust Fuzzy-Logic Technique for Computer-Aided Diagnosis of Microwave Filters
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Bibliographic record
Abstract
This paper introduces an improved algorithm based on fuzzy logic for tuning microwave filters. The approach is demonstrated by considering slightly detuned and highly detuned eight-pole elliptic function filters with tuned resonators and four-pole Chebyshev filter with mistuned resonators. Employing Sugeno-type fuzzy-logic system (FLS) along with fuzzy subtractive clustering results in much fewer fuzzy rules. The parameters of the fuzzy system are methodically adjusted to provide an optimized system. Unlike previous published method, only one FLS is adequate to deal with both cases of slightly detuned and highly detuned filters. The achieved results demonstrate the validity of the proposed approach in identifying the filter elements that cause the detuning.
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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 | 0.001 | 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