A brief review over neural network modeling techniques
Why this work is in the frame
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Bibliographic record
Abstract
Artificial neural networks (ANN) have been recently emerged as a powerful computer-aided design (CAD) tool for modeling devices and circuits. The overall objective of this paper is to do a survey over different neural network techniques for both frequency domain and transient modeling of circuits and components. The static models discussed in this paper are multilayer perceptron (MLP) and Radial basis function (RBF) neural networks which are mostly used to model and analyze the frequency domain behavior of the circuits. On the other hand, recurrent neural networks (RNN) and dynamic neural network (DNN) that are considered to be time-domain ANNs are discussed. These neural networks permit modeling and analyzing the transient behavior of the nonlinear circuits/components.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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