The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Design and evolution of modular neural network architectures
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
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Optimization by Simulated Annealing
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983) · Science · doi:10.1126/science.220.4598.671 · Cited by 45,134
The Fractal Geometry of Nature
Mandelbrot, B. B., & Wheeler, J. A. (1983) · American Journal of Physics · doi:10.1119/1.13295 · Cited by 21,832
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Learning Internal Representations by Error Propagation
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1985) · doi:10.21236/ada164453 · Cited by 16,172
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
(1976) · Cited by 10,423
(1982) · Trends in Neurosciences · doi:10.1016/0166-2236(82)90076-5 · Cited by 9,089
Cited by
Deep learning in neural networks: an overview
Schmidhuber, J. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.09.003 · Cited by 18,570
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
Califf, R. M., Adams, K. F., McKenna, W. J., Gheorghiade, M., Uretsky, B. F., McNulty, S. E., Darius, H., Schulman, K., Zannad, F., Handberg-Thurmond, E., et al. (1997) · American Heart Journal · doi:10.1016/s0002-8703(97)70105-4 · Cited by 665
Practical options for selecting data-driven or physics-based prognostics algorithms with reviews
An, D., Kim, N. H., & Choi, J.-H. (2015) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2014.09.014 · Cited by 451
SVM and SVM Ensembles in Breast Cancer Prediction
Huang, M.-W., Chen, C.-W., Lin, W.-C., Ke, S.-W., & Tsai, C.-F. (2017) · PLOS ONE · doi:10.1371/journal.pone.0161501 · Cited by 339
Metadata
- Authors
- Happel, B. L. M., & Murre, J. M. J.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 1994-01
- Volume
- 7
- Issue
- 6-7
- Pages
- 985-1004
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2052055672
- Cited by
- 275
- References
- 105
- FWCI
- 8.15
- Type
- journal article
- 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: Design and evolution of modular neural network architectures. https://app.cochat.ai/papers/10.1016/s0893-6080(05)80155-8
- The paper
- Happel, B. L. M., & Murre, J. M. J. (1994). Design and evolution of modular neural network architectures. Neural Networks. https://doi.org/10.1016/s0893-6080(05)80155-8
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.
