Seismic pattern recognition based upon Hopfield Neural Networks-Reference-Cited by-同舟云学术

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Seismic pattern recognition based upon Hopfield Neural Networks

Published:2007-12-01 Issue:4 Volume:38 Page:220-224
ISSN:0812-3985
Container-title:Exploration Geophysics
language:en
Short-container-title:Exploration Geophysics

Author:

Banchs Rafael¹,Rondon Oscar²³

Affiliation:

1. Signal Processing and Communications Department, Universitat Politècnica de Catalunya, Campus Nord, D4-100, Barcelona 08034, Spain.

2. Snowden Group, 87 Colin Street, West Perth, Perth, Western Australia, Australia, WA 6005, Australia.

3. Corresponding author.

Publisher

Informa UK Limited

Subject

Geology,Geophysics

Link

https://www.tandfonline.com/doi/pdf/10.1071/EG07024

Reference11 articles.

1. On the convergence properties of the Hopfield model

2. Unsupervised seismic facies classification: A review and comparison of techniques and implementation

3. Haykin S. 1999, Neural Networks: a Comprehensive Foundation, Pearson Prentice Hall.

4. Neural networks and physical systems with emergent collective computational abilities.

Cited by 3 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. Pattern Classification;Encyclopedia of Mathematical Geosciences;2023

2. Robust K-means algorithm with weighted window for seismic facies analysis;Journal of Geophysics and Engineering;2021-08-20

3. Pattern Classification;Encyclopedia of Mathematical Geosciences;2021

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