Constructing a Structural Macroeconomic Model Using Multiple Techniques

This project constructs a structural model of the United States Economy. This task is tackled in two separate ways: first econometric methods and then using a neural network, both with a structure that mimics the structure of the U.S. economy. The structural model tracks the performance of U.S. GDP rather well in a dynamic simulation, with an average error of just over 1 percent. The neural network performed well, but suffered from some theoretical, as well as some implementation issues.

Building an Interactive, Three-dimensional Virtual World

The movement of graphics and audio programming towards three dimensions is to better simulate the way we experience our world. In this project I looked to use methods for coming closer to such simulation via realistic graphics and sound combined with a natural interface. I did most of my work on a Dell OptiPlex with an 800 MHz Pentium III processor and an NVIDlA GeForce 256 AGP Plus graphics accelerator -high end products in the consumer market as of April 2000. For graphics, I used OpenGL [1], an open·source, multi-platform set of graphics libraries that is relatively easy to use, coded in C . The basic engine I first put together was a system to place objects in a scene and to navigate around the scene in real time. Once I accomplished this, I was able to investigate specific techniques for making parts of a scene more appealing.