The possibility of preparing soil texture class map by artificial neural networks, inverse distance weighting, and geostatistical methods in Gavoshan dam basin, Kurdistan Province, Iran

Soil Texture ◽

Inverse Distance Weighting ◽

Geostatistical Methods ◽

Distance Weighting ◽

Artificial Neural ◽

Inverse Distance ◽

Texture Class

Soil texture classification with artificial neural networks operating on remote sensing data

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2006.08.001 ◽

2006 ◽

Vol 54 (2) ◽

pp. 53-68 ◽

Cited By ~ 35

Author(s):

Yushun Zhai ◽

J. Alex Thomasson ◽

Julian E. Boggess ◽

Ruixiu Sui

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Soil Texture ◽

Texture Classification ◽

Remote Sensing Data ◽

Sensing Data ◽

Application of Artificial Neural Network, Kriging, and Inverse Distance Weighting Models for Estimation of Scour Depth around Bridge Pier with Bed Sill

Journal of Software Engineering and Applications ◽

10.4236/jsea.2010.310112 ◽

2010 ◽

Vol 03 (10) ◽

pp. 944-964 ◽

Cited By ~ 12

Author(s):

Homayoon Seyed Rahman ◽

Keshavarzi Alireza ◽

Gazni Reza

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Inverse Distance Weighting ◽

Bridge Pier ◽

Scour Depth ◽

Distance Weighting ◽

Artificial Neural ◽

Inverse Distance

Predictive Mapping of the Nodule Abundance and Mineral Resource Estimation in the Clarion-Clipperton Zone Using Artificial Neural Networks and Classical Geostatistical Methods

Deep-Sea Mining ◽

10.1007/978-3-319-52557-0_6 ◽

2017 ◽

pp. 189-212 ◽

Cited By ~ 5

Author(s):

Andreas Knobloch ◽

Thomas Kuhn ◽

Carsten Rühlemann ◽

Thomas Hertwig ◽

Karl-Otto Zeissler ◽

...

Keyword(s):

Neural Networks ◽

Mineral Resource ◽

Resource Estimation ◽

Predictive Mapping ◽

Geostatistical Methods ◽

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Organizational Issues ◽

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Diagnosis And Prognosis ◽

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Space Exploration ◽

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Cited By ~ 1

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽

Физико-технические проблемы разработки полезных ископаемых ◽

A New Model Based on Artificial Neural Networks and Game Theory for the Selection of Underground Mining Method

10.15372/ftprpi20200108 ◽

2020 ◽

Keyword(s):

Neural Networks ◽

Game Theory ◽

Underground Mining ◽

Mining Method ◽

New Model ◽

Model Based ◽

Artificial Neural ◽

Selection Of