Sparsity through evolutionary pruning prevents neuronal networks from overfitting

Research article (Neural Networks, 2020) · cited 57× · AI/ML

CreativeWork academia openalex:W3021119228

Press Enter · cited answer in seconds

Summary

Sparsity through evolutionary pruning prevents neuronal networks from overfitting is a scholarly article^[1].

Key Facts

Sparsity through evolutionary pruning prevents neuronal networks from overfitting's instance of is recorded as scholarly article^[2].

📜 Data licence

Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex

⭐ Popularity Graph

0/100 long tail

Quick Facts

Instance of scholarly article

Publication date May 11, 2020

Properties

Published in Neural Networks

Title lang: en, text: Sparsity through evolutionary pruning prevents neuronal networks from overfitting

External References (3)

Doi 10.1016/J.NEUNET.2020.05.007

Openalex id W3021119228

Pubmed publication id 32454374

🔗 Connections

Authored by 4

Achim Schilling, André Erpenbeck, Patrick Krauss, Richard Gerum

← Author of 4

Achim Schilling, André Erpenbeck, Patrick Krauss, Richard Gerum

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

[2] ↑ Sparsity through evolutionary pruning prevents neuronal networks from overfitting — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Sparsity through evolutionary pruning prevents neuronal networks from overfitting is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA

4ort.xyz Knowledge Graph. (2026). Sparsity through evolutionary pruning prevents neuronal networks from overfitting. Retrieved October 19, 2026, from https://4ort.xyz/entity/sparsity-through-evolutionary-pruning-prevents-neuronal-networks-from-overfitting

MLA

“Sparsity through evolutionary pruning prevents neuronal networks from overfitting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 19 Oct. 2026, https://4ort.xyz/entity/sparsity-through-evolutionary-pruning-prevents-neuronal-networks-from-overfitting.

BibTeX

@misc{4ortxyz_sparsity-through-evolutionary-pruning-prevents-neuronal-networks-from-overfitting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sparsity through evolutionary pruning prevents neuronal networks from overfitting}}, year = {2026}, url = {https://4ort.xyz/entity/sparsity-through-evolutionary-pruning-prevents-neuronal-networks-from-overfitting}, note = {Accessed: 2026-10-19}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sparsity through evolutionary pruning prevents neuronal networks from overfitting — https://4ort.xyz/entity/sparsity-through-evolutionary-pruning-prevents-neuronal-networks-from-overfitting (retrieved 2026-10-19)

Canonical URL: https://4ort.xyz/entity/sparsity-through-evolutionary-pruning-prevents-neuronal-networks-from-overfitting · Last refreshed: October 19, 2026