Terms related to neural networks · 3.4.10
recurrent neural network
a neural network in which the current layer receives outputs from the previous layer and from the previous processing step
What this term settles
The definition fixes what recurrent neural network means inside this vocabulary and, just as usefully, where the boundary sits. A reader who means something wider or narrower is using a different term and should say so.
Who it binds
Nothing here creates an obligation by itself, and the obligation for recurrent neural network arrives when the firm writes the term into a control, a specification or a purchase order.
What to do in your practice
Take the firm's own definition of recurrent neural network, put it beside this one and mark the differences. Each difference is either a deliberate local choice or an inconsistency to fix.
Evidence an auditor or regulator asks for
- A controlled vocabulary entry for recurrent neural network with the citation 3.4.10, an owner and a review date.An auditor can check that recurrent neural network is controlled rather than assumed.
- A model architecture note that names the network form and the layers used. The row names recurrent neural network.Shows recurrent neural network in use in the artefact the firm relies on, not only in a glossary.
- A test record that shows the behaviour the architecture was chosen for. The record carries the recurrent neural network entry and its date.The architecture note uses the network name as a marketing label with no layer or training detail behind it. The gap is tested against recurrent neural network.
Common gaps this page catches
- recurrent neural network is used in the network architecture note without a written definition, so two teams can mean different things.
- The entry for recurrent neural network exists in a glossary but not in the system record, so the two disagree at the point of use.
What to prepare before the amendment lands
Add the entry to the register, give it an owner and a review date, and test it against one live artefact this week. The test is the evidence; the register row alone is not.
How to test it here
Take one live artefact rather than a template, find the sentence or field where recurrent neural network is used, and put this page beside it. Record the answer, the artefact and the date, because that record is the evidence and a glossary entry on its own is only an intention.
What this page does not claim
The page does not reproduce the standard, certify the firm or predict the wording the amendment will use; it states recurrent neural network at the claim level "definition" and stops where the public record stops.
Common questions
- What does recurrent neural network mean in ISO 22989?
- a neural network in which the current layer receives outputs from the previous layer and from the previous processing step
- What evidence should we keep for 3.4.10?
- A controlled vocabulary entry for recurrent neural network with the citation 3.4.10, an owner and a review date. A model architecture note that names the network form and the layers used. The row names recurrent neural network.
- Is recurrent neural network a requirement?
- No: recurrent neural network is a definition or clause of a terminology standard, and it becomes binding only when a firm writes it into a policy, a contract or a procedure, or when another standard incorporates it.
Related units
Source. ISO/IEC 22989:2022, Clause 3.4.10, Terms and definitions. Open the ISO public entry. Retrieved 21 October 2026.
https://www.iso.org/obp/ui/en/#iso:std:iso-iec:22989:ed-1:v1:en
ISO catalogue record 88145, the amendment status, stage and dates. Catalogue record 74296, the base standard.
Claim level: definition. The definition is in the public preview. This page states it in our own words and does not reproduce the text.
Last updated: 2026-10-21 · Markdown version · Check your vocabulary