✦ LIBER ✦

Comparison of hierarchical temporal memories and artificial neural networks under noisy data

✍ Scribed by Rodriguez-Cobo, L.; Mirapeix, J.; Cobo, A.; Lopez-Higuera, J.

Book ID: 125494592
Publisher: SAGE Publications
Year: 2014
Tongue: English
Weight: 887 KB
Volume: 26
Category: Article
ISSN: 1045-389X
DOI: 10.1177/1045389X14538537

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Comparison of artificial neural networks

Comparison of artificial neural networks with other statistical approaches : Results from medical data sets

✍ Daniel J. Sargent 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 114 KB 👁 1 views

A Comparison of Data Envelopment Analysi

A Comparison of Data Envelopment Analysis and Artificial Neural Networks as Tools for Assessing the Efficiency of Decision Making Units

✍ Antreas D. Athanassopoulos and Stephen P. Curram 📂 Article 📅 1996 🏛 Palgrave Publishers Ltd. 🌐 English ⚖ 434 KB

Comparison of mouse embryo deformation m

Comparison of mouse embryo deformation modeling under needle injection using analytical Jacobian, nonlinear least square and artificial neural network techniques

✍ A.A. Abbasi; M.T. Ahmadian; G.R. Vossoughi 📂 Article 📅 2011 🏛 Elsevier 🌐 English ⚖ 453 KB

Comparison of artificial neural network

Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data

✍ Behzad Eftekhar; Kazem Mohammad; Hassan Eftekhar Ardebili; Mohammad Ghodsi; Ebra 📂 Article 📅 2005 🏛 BioMed Central 🌐 English ⚖ 380 KB

Comparison of snow water equivalent retr

Comparison of snow water equivalent retrieved from SSM/I passive microwave data using artificial neural network, projection pursuit and nonlinear regressions

✍ Thian Yew Gan; Oscar Kalinga; Purushottam Singh 📂 Article 📅 2009 🏛 Elsevier Science 🌐 English ⚖ 848 KB

The snow water equivalent (SWE) for the Red River basin of North Dakota and Minnesota was retrieved from data acquired by passive microwave SSM/I (Special Sensor Microwave Imager) sensors mounted on the US Defense Meteorological Satellite Program (DMSP) satellites, physiographic and atmospheric data

Comparison between rice grain yield pred

Comparison between rice grain yield predictions using artificial neural networks and a very simple model under different levels of water and nitrogen application

✍ Moosavizadeh-Mojarad, R.; Sepaskhah, A. R. 📂 Article 📅 2012 🏛 Taylor and Francis Group 🌐 English ⚖ 303 KB