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About Neural Networks Economics
This document discusses neural networks and their applications in economics. It begins by providing background on neural networks and their ability to learn from examples. It then summarizes key results from statistical learning theory that provide insights into generalization properties of neural network learning algorithms. Specifically, it discusses how minimizing empirical risk on training data can lead to models that generalize well to new examples, if the model complexity is also controlled. The document outlines applications of neural networks in economics and describes support vector learning techniques. It concludes by presenting an application of these methods to learn preference structures from observations.
Detailed Information
| Author: | ['kodecel'] |
|---|---|
| Publication Year: | 2012 |
| Pages: | 27 |
| Language: | English |
| Format: | |
| Price: | FREE |
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