Data · dataset · 2026
Conceptual comparison between multilayer perceptrons (MLPs) and Kolmogorov--Arnold networks (KANs) for function approximation
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.6084/m9.figshare.34046364.v1
<p dir="ltr">In the MLP schematic (left), nonlinear transformations are illustrated at the nodes using a fixed activation function.
Description
ReLU is used only as an illustrative example in the visualization. In contrast, a KAN (right) places learnable nonlinear functions on the network edges, allowing each connection to adapt its transformation.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34046364.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Applications in physical sciences · Applications in physical sciences · Applications in physical sciences · Computer Science & AI · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Neural networks · Neural networks · Neural networks · Physics · Physics · Physics
Provenance · 3 source records, 20 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34046364 | 4 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34046364 | 4 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34046364 | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:460104 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Applications in physical sciences'] |
| concepts[field].anzsrc:field:460104 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Applications in physical sciences'] |
| concepts[field].anzsrc:field:460104 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Applications in physical sciences'] |
| concepts[field].anzsrc:field:461104 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Neural networks'] |
| concepts[field].anzsrc:field:461104 | mapping · figshare dmu ac uk | vocabulary-mapper@1.0.0 | keywords['Neural networks'] |
| concepts[field].anzsrc:field:461104 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Neural networks'] |
| concepts[field].local:field:computer-science-ai | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:physics | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:physics | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:physics | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |