Using adaptive neuro fuzzy inference system in developing an electrical arc furnace simulator
Bibliographic record
Abstract
This paper presents the use of adaptive neurofuzzy inference systems (ANFIS) in simulating the regulator control loop of the electrical arc furnace (EAF). The regulator loop is the core part of steel making EAF, which controls positioning of the electrodes. The non-linearity and complexity of EAF makes it very difficult to use the classical mathematical modeling techniques in building the process simulator. This research shows that, the EAF regulator loop could be modeled with the use of ANFIS as non-parametric modeling method. The effort is extended to put together the different parts of the model in a cascade and come up with a complete regulator loop simulator. The simulator outputs are illustrated beside the actual recorded plant data. The actual data used were acquired and recorded from the EAF of the Gerdau Ameristeel Whitby (GAW) in Ontario, Canada
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".