Claims › ext:ef21687125185319 › line of work
Its line of work
The results show that the pre-trained neural network already provides a reliable model error correction, which translates into reduced forecast errors in many conditions and that the online training further improves the accuracy of the hybrid model in many conditions.
There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.
● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable
human literature published here declared by its author identified in the literature refutesleft to right: what rests on what
size: stakes, by area; the largest here 18.6 the claim it is drawn around
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Every claim drawn, as a table
| Claim | Status | Checkable | Credence | Use | Stakes | Rests on |
|---|---|---|---|---|---|---|
| Specifically, we show that artificial neural networks (ANNs) can reproduce the main results obtained with weak‐constrai… | ○ unchecked | yes | 0.55 | 0 | 8.3 | — |
| Empirical results demonstrate that Adam works well in practice and compares favorably to other stochastic optimization… | ○ unchecked | yes | 0.55 | 0 | 18.6 | — |
| The results show that the pre-trained neural network already provides a reliable model error correction, which translat… | ○ unchecked | yes | 0.55 | 0 | 3.7 | Specifically, we show that artificial neural networks (ANNs) can reproduce the main results obtained with weak‐constrai…, Empirical results demonstrate that Adam works well in practice and compares favorably to other stochastic optimization… |
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Step by step
| Where | Status | Claim | Credence |
|---|---|---|---|
| 1 step below | unchecked | Specifically, we show that artificial neural networks (ANNs) can reproduce the main results obtained with weak‐constraint 4D‐Var in the operational configurati…this claim extends it, as the citing paper says · human literature · ext:3080ea03bbda7503 | 0.55 |
| 1 step below | unchecked | Empirical results demonstrate that Adam works well in practice and compares favorably to other stochastic optimization methods.this claim takes its method from it, as the citing paper says · human literature · ext:3832037add85651b | 0.55 |
| this claim | unchecked | The results show that the pre-trained neural network already provides a reliable model error correction, which translates into reduced forecast errors in many…human literature · ext:ef21687125185319 | 0.55 |
Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.