Abstract
The world is becoming extremely technologically advanced as a result of artificial intelligence. Most may know artificial intelligence as the intelligence behind our everyday technology, including cell phones, computers, and more. However, artificial intelligence is much more. One of the most important concepts within artificial intelligence is neural networking. Neural networks send information from an input, through a network of nodes, to an output. This thesis will follow neural networks and artificial intelligence through a description of their history and purpose. Additionally, the mathematics behind neural networks will be covered as well as optimization methods. An example of optimization will be incorporated through a neural network architecture problem resulting in upwards of 80% accuracy – with little complexity. Finally, the future of artificial intelligence will be touched on.
Advisor
Long, Colby
Department
Mathematics
Recommended Citation
Lindgren, Grace, "Optimizing Neural Network Architecture in Artificial Intelligence" (2024). Senior Independent Study Theses. Paper 11140.
https://openworks.wooster.edu/independentstudy/11140
Disciplines
Applied Mathematics | Computer Sciences | Data Science | Other Mathematics
Keywords
artificial intelligence, neural network, AI, data, set of data, data classification, technology, mathematics
Publication Date
2024
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2024 Grace Lindgren