Neural Network Classification

Unsupervised vs. Supervised classifiers – Comparing classification results

By: Ivan Marroquin, Ph.D. - Senior Research Geophysicist In machine learning, there is a very interesting challenge in comparing the quality of the classification result generated by either unsupervised or ...
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Comparison of Seismic Inversion and SOM Seismic Multi-Attribute Analysis

Comparison of Seismic Inversion and SOM Seismic Multi-Attribute Analysis

Self-Organizing Maps (SOM) is a relatively new approach for seismic interpretation in our industry and should not be confused with seismic inversion or rock modeling.  The descriptions below differentiate SOM, ...
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The Value of Instantaneous Attributes

The Value of Instantaneous Attributes

Self-Organizing Maps (SOM) is a relatively new approach for seismic interpretation in our industry and should not be confused with seismic inversion or rock modeling.  The descriptions below differentiate SOM, ...
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Machine Learning - The Next Generation Seismic Interpretation

Machine Learning – The Next Generation Seismic Interpretation

Most people associate neural networks, big data and big number crunching as parts of a single paradigm for access to web information. Articulate a query and wait for a list of ...
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Machine Learning and Truck Driving

Machine Learning and Truck Driving

Every day, 2.5 quintillion bytes of data get created and in the last two years, 90% of the world's data was generated. So much information is available to us and ...
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