✦ LIBER ✦

Prediction of Soil Enzymes Activity by Digital Terrain Analysis: Comparing Artificial Neural Network and Multiple Linear Regression Models

✍ Scribed by Tajik, Samaneh; Ayoubi, Shamsollah; Nourbakhsh, Farshid

Book ID: 120205182
Publisher: Mary Ann Liebert
Year: 2012
Tongue: English
Weight: 357 KB
Volume: 29
Category: Article
ISSN: 1092-8758
DOI: 10.1089/ees.2011.0313

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Prediction of feed abrasive value by art

Prediction of feed abrasive value by artificial neural networks and multiple linear regression

✍ M. A. Norouzian, S. Asadpour 📂 Article 📅 2011 🏛 Springer-Verlag 🌐 English ⚖ 282 KB

Comparative analysis of regression and a

Comparative analysis of regression and artificial neural network models for wind speed prediction

✍ Mehmet Bilgili; Besir Sahin 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 689 KB

Multiple Linear Regression and Artificia

Multiple Linear Regression and Artificial Neural Networks to Predict Time and Efficiency of Soil Vapor Extraction

✍ José Tomás Albergaria,F. G. Martins,M. C. M. Alvim-Ferraz… 📂 Article 📅 2014 🏛 Springer Netherlands 🌐 English ⚖ 565 KB

Predicting Air Permeability of Handloom

Predicting Air Permeability of Handloom Fabrics: A Comparative Analysis of Regression and Artificial Neural Network Models

✍ Mitra, Ashis; Majumdar, Prabal Kumar; Bannerjee, Debamalya 📂 Article 📅 2013 🏛 Springer-Verlag 🌐 English ⚖ 384 KB

A graphical sensitivity analysis for sta

A graphical sensitivity analysis for statistical climate models: application to Indian monsoon rainfall prediction by artificial neural networks and multiple linear regression models

✍ Alex J. Cannon; Ian G. McKendry 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 798 KB

## Abstract A form of sensitivity analysis is described that illustrates the effects that inputs have on outputs of statistical models. The strength and sign of relationships, the types of nonlinearity, and the presence of interactions between inputs can be diagnosed using this technique. Intended

Prediction of Tumoricidal Activity and A

Prediction of Tumoricidal Activity and Accumulation of Photosensitizers in Photodynamic Therapy Using Multiple Linear Regression and Artificial Neural Networks

✍ R. Vanyúr; K. Héberger; I. Kövesdi; J. Jakus 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 167 KB