✦ LIBER ✦

Application of artificial neural networks and multivariate statistics to predict UCS and E using physical properties of Asmari limestones

✍ Scribed by Torabi-Kaveh, M.; Naseri, F.; Saneie, S.; Sarshari, B.

Book ID: 121546201
Publisher: Springer-Verlag
Year: 2014
Tongue: English
Weight: 647 KB
Volume: 8
Category: Article
ISSN: 1866-7511
DOI: 10.1007/s12517-014-1331-0

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Application of equation of state and art

Application of equation of state and artificial neural network to prediction of volumetric properties of polymer melts

✍ Yousefi, F. ;Karimi, H. 📂 Article 📅 2013 🏛 Elsevier 🌐 English ⚖ 802 KB

Use of artificial neural network for pre

Use of artificial neural network for prediction of physical properties and tensile strengths in particle reinforced alüminum matrix composites

✍ Necat Altinkok; Rasit Koker 📂 Article 📅 2005 🏛 Springer 🌐 English ⚖ 181 KB

Prediction of physical properties of Al2

Prediction of physical properties of Al2TiO5-based ceramics containing micro and nano size oxide additives by using artificial neural network

✍ A. Shokuhfar; M. N. Samani; N. Naserifar; P. Heidary; G. Naderi 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 390 KB

## Abstract Recently, artificial neural networks (ANN) are being used as an interdisciplinary tool in many applications. There are various training algorithms used in neural network applications. The aim of this study is to investigate the effect of various training algorithms on the learning perfo

Prediction of Mass-transfer Kinetics and

Prediction of Mass-transfer Kinetics and Product Quality Changes during a Dehydration-Impregnation-Soaking Process using Artificial Neural Networks. Application to Pork Curing

✍ I. Poligné; B. Broyart; G. Trystram; A. Collignan 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 291 KB