Skip to main navigation
Skip to search
Skip to main content

University of Limerick Home

Search content at University of Limerick

Home
Profiles
Research units
Research output
Prizes
Activities
Press/Media
Student theses

interpretnn: Feedforward neural networks as statistical models

A McInerney
, K Burke

Centre for Research Training in Foundations of Data Science
Department of Mathematics and Statistics
Mathematics Applications Consortium for Science and Industry (MACSI)
Provost & Deputy President

Research output: Non-textual form › Software

Overview

Original language	Undefined/Unknown
Publication status	Published - 2023

Cite this

APA
Author
BIBTEX
Harvard
Standard
RIS
Vancouver

McInerney, A., & Burke, K. (2023). interpretnn: Feedforward neural networks as statistical models. Software

McInerney, A (Author) ; Burke, K (Author). / interpretnn: Feedforward neural networks as statistical models. [Software].

@misc{d56214473c55468c801132c529e16035,

title = "interpretnn: Feedforward neural networks as statistical models",

author = "A McInerney and K Burke",

year = "2023",

language = "Undefined/Unknown",

}

McInerney, A & Burke, K, interpretnn: Feedforward neural networks as statistical models, 2023, Software.

interpretnn: Feedforward neural networks as statistical models. McInerney, A (Author); Burke, K (Author). 2023.

Research output: Non-textual form › Software

TY - ADVS

T1 - interpretnn: Feedforward neural networks as statistical models

AU - McInerney, A

AU - Burke, K

PY - 2023

Y1 - 2023

M3 - Software

ER -

McInerney A , Burke K. interpretnn: Feedforward neural networks as statistical models 2023.

Powered by Pure Link opens in a new tab, Scopus Link opens in a new tab & Elsevier Fingerprint Engine™ Link opens in a new tab

All content on this site: Copyright © 2026 University of Limerick, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply

We use cookies to help provide and enhance our service and tailor content. By continuing you agree to the use of cookies

Log in to Pure Link opens in a new tab

University of Limerick data protection policy Link opens in a new tab

About web accessibility Link opens in a new tab

Report vulnerability Link opens in a new tab