Investigating modularity and transparency within bioinspired connectionist architectures using genetic and epigenetic models
(2022)
Thesis
Lacey, G. A. Investigating modularity and transparency within bioinspired connectionist architectures using genetic and epigenetic models. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4224286
Machine learning algorithms allow computers to deal with incomplete data in tasks such as speech recognition and object detection. Some machine learning algorithms take inspiration from biological systems due to useful properties such as robustness,... Read More about Investigating modularity and transparency within bioinspired connectionist architectures using genetic and epigenetic models.