✦ LIBER ✦

Prediction of indoor temperature and relative humidity using neural network models: model comparison

✍ Scribed by Tao Lu; Martti Viljanen

Publisher: Springer-Verlag
Year: 2008
Tongue: English
Weight: 547 KB
Volume: 18
Category: Article
ISSN: 0941-0643
DOI: 10.1007/s00521-008-0185-3

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Artificial neural network models for ind

Artificial neural network models for indoor temperature prediction: investigations in two buildings

✍ Bertil Thomas; Mohsen Soleimani-Mohseni 📂 Article 📅 2006 🏛 Springer-Verlag 🌐 English ⚖ 411 KB

Prediction of soil temperature using reg

Prediction of soil temperature using regression and artificial neural network models

✍ Mehmet Bilgili 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 534 KB

A comparison of linear and neural networ

A comparison of linear and neural network ARX models applied to a prediction of the indoor temperature of a building

✍ A. Mechaqrane; M. Zouak 📂 Article 📅 2004 🏛 Springer-Verlag 🌐 English ⚖ 333 KB

Greenhouse temperature modeling: a compa

Greenhouse temperature modeling: a comparison between sigmoid neural networks and hybrid models

✍ Raphael Linker; Ido Seginer 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 97 KB

Rainfall-runoff modelling using artifici

Rainfall-runoff modelling using artificial neural networks: comparison of network types

✍ A. R. Senthil Kumar; K. P. Sudheer; S. K. Jain; P. K. Agarwal 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 206 KB

## Abstract Growing interest in the use of artificial neural networks (ANNs) in rainfall‐runoff modelling has suggested certain issues that are still not addressed properly. One such concern is the use of network type, as theoretical studies on a multi‐layer perceptron (MLP) with a sigmoid transfer

Prediction of skin penetration using art

Prediction of skin penetration using artificial neural network (ANN) modeling

✍ Tuncer Deği̇m; Jonathan Hadgraft; Sibel İlbasmiş; Yalçin Özkan 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 239 KB

Artificial neural network (ANN) analysis was used to predict the skin permeability of selected xenobiotics. Permeability coefficients (log k(p)) were obtained from various literature sources. A previously reported equation, which was shown to be useful in the prediction of skin permeability, uses th