Neural Network Topologies

Authors

Michael Rimer, Brigham Young University
Dr. Tony Martinez, Brigham Young University

Keywords

neural networks, topologies, network topology

College

Physical and Mathematical Sciences

Department

Computer Science

Abstract

Neural networks are a statistics-based learning paradigm in which specific acquired data samples are studied to form general rules on how to correctly handle new, unseen data. They have been used to make informed decisions in complex systems, such as predicting stock market trends, controlling robots in unpredictable environments, and performing voice or face recognition.

Recommended Citation

Rimer, Michael and Martinez, Dr. Tony (2013) "Neural Network Topologies," Journal of Undergraduate Research: Vol. 2013: Iss. 1, Article 2660.
Available at: https://scholarsarchive.byu.edu/jur/vol2013/iss1/2660