Modelling of rheological characteristics of glacier debris flow using artificial neural networks

Arabian Journal of Geosciences ◽

10.1007/s12517-021-08513-1 ◽

2021 ◽

Vol 15 (1) ◽

Author(s):

Liu Shuliang ◽

Zhang Jichun

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Debris Flow ◽

Rheological Characteristics ◽

Artificial Neural

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Identification and Application of Nonlinear Rheological Characteristics of Oilseed Based on Artificial Neural Networks

Life System Modeling and Simulation - Lecture Notes in Computer Science ◽

10.1007/978-3-540-74771-0_46 ◽

2007 ◽

pp. 406-413

Author(s):

Xiao Zheng ◽

Guoxiang Lin ◽

Dongping He ◽

Jingzhou Wang ◽

Yan You

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Rheological Characteristics ◽

Artificial Neural

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A Remote Sensing-Based Approach for Debris-Flow Susceptibility Assessment Using Artificial Neural Networks and Logistic Regression Modeling

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2014.2337273 ◽

2014 ◽

Vol 7 (12) ◽

pp. 4818-4835 ◽

Author(s):

Racha Elkadiri ◽

Mohamed Sultan ◽

Ahmed M. Youssef ◽

Tamer Elbayoumi ◽

Ronald Chase ◽

...

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Logistic Regression ◽

Artificial Neural Networks ◽

Debris Flow ◽

Regression Modeling ◽

Susceptibility Assessment ◽

Logistic Regression Modeling ◽

Artificial Neural ◽

Debris Flow Susceptibility

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Determination of rheological characteristics of flow concrete by artificial neural networks method

International Journal of Reasoning-based Intelligent Systems ◽

10.1504/ijris.2010.036879 ◽

2010 ◽

Vol 2 (3/4) ◽

pp. 310

Author(s):

Ahmet Bilgil ◽

Bekir S. Tezekici ◽

M. Vehbi Gokce

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Rheological Characteristics ◽

Artificial Neural

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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 ◽

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

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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 ◽

Artificial Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Artificial Neural

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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 ◽

Artificial Neural Networks ◽

Organizational Issues ◽

Artificial Neural

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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 ◽

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Artificial Neural Networks ◽

Diagnosis And Prognosis ◽

Artificial Neural

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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 ◽

Artificial Neural Networks ◽

Space Exploration ◽

Artificial Neural

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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 ◽

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽

Artificial Neural

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

Физико-технические проблемы разработки полезных ископаемых ◽

10.15372/ftprpi20200108 ◽

2020 ◽

Keyword(s):

Neural Networks ◽

Game Theory ◽

Artificial Neural Networks ◽

Underground Mining ◽

Mining Method ◽

New Model ◽

Model Based ◽

Artificial Neural ◽

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