Artificial Neural Networking as a Decision Tool for Natural Gas Investment

<p>With the growing interest in the Marcellus Shale and its natural gas deposits, there are opportunities to purchase and hold land for investment purposes. A robust decision tool is needed to help guide investors towards the most profitable properties. Artificial neural networks have many unique benefits that make them an ideal candidate for this purpose.</p> <p>The artificial neural networks created in this study had nine independent variables. Combinations of these nine variables were created to describe 300 theoretical properties available for purchase. Each of these properties were then evaluated by an expert in the field and given a score from one to five to rate its investment potential, which was the dependent variable.</p> <p>Sixteen different network architectures were used to create over 200 neural networks. However, none of these networks met the criteria established to determine success. This is likely due to the unreliability in the data used to train the network, evidenced by the expert’s inability to reproduce previously assigned scores.</p>

Name thesis:degree_name

MS in Industrial Engineering

Discipline thesis:degree_discipline

Industrial and Manufacturing Engineering

Year dc:date.available

2011

Author dc:creator

• Denecour, Micah D.

Contributors dc:contributor

• Lizabeth Schlemer

• Operational Research

Identifier

10.15368/theses.2011.41

OAI identifier oai:identifier

oai:digitalcommons.calpoly.edu:theses-1512