The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
How Neural Nets Work
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459
Cited by
Wolpert, D. H. (1992) · Neural Networks · doi:10.1016/s0893-6080(05)80023-1 · Cited by 7,951
Forecasting with artificial neural networks:
Zhang, G., Eddy Patuwo, B., & Y. Hu, M. (1998) · International Journal of Forecasting · doi:10.1016/s0169-2070(97)00044-7 · Cited by 4,229
Recursive distributed representations
Pollack, J. B. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90005-k · Cited by 852
Neural networks for nonlinear dynamic system modelling and identification
CHEN, S., & BILLINGS, S. A. (1992) · International Journal of Control · doi:10.1080/00207179208934317 · Cited by 720
Practical identification of NARMAX models using radial basis functions
CHEN, S., BILLINGS, S. A., COWAN, C. F. N., & GRANT, P. M. (1990) · International Journal of Control · doi:10.1080/00207179008953599 · Cited by 306
Metadata
- Authors
- Lapedes, A., & Farber, R.
- Venue
- Evolution, Learning and Cognition
- Publisher
- WORLD SCIENTIFIC
- Published
- 1989-01
- Pages
- 331-346
- OpenAlex
- W2107725879
- Cited by
- 292
- References
- 1
- FWCI
- 34.82
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: How Neural Nets Work. https://app.cochat.ai/papers/10.1142/9789814434102_0012
- The paper
- Lapedes, A., & Farber, R. (1989). How Neural Nets Work. Evolution, Learning and Cognition. https://doi.org/10.1142/9789814434102_0012
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
