Deep Feed-Forward Network
Network AIO:DeepFeedForwardNetwork NOT_REVIEWED
A deep neural network that processes information in one direction—from input nodes through hidden nodes to output nodes—without cycles or loops.
Ontology IRI:
https://w3id.org/aio/DeepFeedForwardNetwork
Ontology Structure & Relationships
Parent Classes
Branches
Axiomatic Relationships
-
BFO:0000051 →
AIO:HiddenLayer(Hidden Layer) -
BFO:0000051 →
AIO:InputLayer(Input Layer) -
BFO:0000051 →
AIO:OutputLayer(Output Layer)
Annotations & Sources
Synonyms:
- DFF exact
- MLP exact
- Multilayer Perceptoron exact
Definition Sources:
Subsets:
https://w3id.org/aio/NetworkSubset
Curated AIMech Concepts Grounded to this Class
3 Concepts| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Deep Output Recurrent Neural Network
AIMech:DeepOutputRecurrentNeuralNetwork |
Architectures | related_match | The deep output map uses a feedforward MLP component. This relation does not assert that the complete recurrent architecture is feedforward. |
Deep Output-Transition Recurrent Neural Network
AIMech:DeepOutputTransitionRecurrentNeuralNetwork |
Architectures | related_match | The pinned target includes the MLP synonym and corresponds to feedforward maps used inside the recurrent architecture. It is related as a component family; the complete recurrent network is not asserted to be feedforward. |
Deep Transition Recurrent Neural Network
AIMech:DeepTransitionRecurrentNeuralNetwork |
Architectures | related_match | An MLP from this component family implements the transition. The complete recurrent network is not itself a feedforward network. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…
Source File:
data/aio/DeepFeedForwardNetwork.yaml