Date of Award
Master of Science
Dr. Robert Trenary
Dr. Ajay Gupta
Dr. John Kapenga
Masters Thesis-Open Access
A portable, object-oriented library for simulation of general Multi-layer Feedforward Neural Networks (MLFNs) is described. Unlike all-encompassing neural network simulation environments, the library was designed to allow convenient use in existing programs and in applications where training and testing data are generated using separate, often complex simulations.
The library' s design goals include modularity, portability, efficiency, correctness, compactness, and type-safety. To demonstrate how these objectives are met, competing architectural choices are presented, along with the criteria used for determining the strategy actually implemented. Sample applications using the library are presented, showing how the library' s class files are used in neural network simulations. Finally, the performance of the library is evaluated to demonstrate that the neural network algorithms chosen exhibit modest run-time and storage costs.
Franz, "A Portable, Object-Oriented Library for Neural Network Simulation" (1998). Master's Theses. 4239.