Analytical Hierarchy and Neural Network based Landslide Risk Assessment at Sikkim India: A Comparative Study-Reference-Cited by-同舟云学术

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Analytical Hierarchy and Neural Network based Landslide Risk Assessment at Sikkim India: A Comparative Study

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
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Author:

Mondal Sandeep Kumar¹,Narayan Jyotindra²,Bharti Rishikesh¹,Dwivedy Santosh Kumar²

Affiliation:

1. Indian Institute of Technology Guwahati,Department of Civil Engineering,Guwahati,India

2. Indian Institute of Technology Guwahati,Department of Mechanical Engineering,Guwahati,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9865098/9865099/09865763.pdf?arnumber=9865763

Reference33 articles.

1. Universally Sloppy Parameter Sensitivities in Systems Biology Models

2. Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization;transtrum,2012

3. Backpropagation and Levenberg-Marquardt Algorithm for Training Finite Element Neural Network

4. Neural networks, a comprehensive foundation;haykin;International Journal of Neural Systems,1994

5. Remote sensing GIS-based landslide susceptibility & risk modeling in Darjeeling–Sikkim Himalaya together with FEM-based slope stability analysis of the terrain

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Landslide Suspectibility Mapping Using Hybrid Deep Learning;2023 International Conference on Networking and Communications (ICNWC);2023-04-05

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