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dc.creatorBub, Cassandra
dc.date.accessioned2017-10-10T20:32:28Z
dc.date.available2017-10-10T20:32:28Z
dc.date.created2018-05
dc.date.submittedMay 2018
dc.identifier.urihttp://hdl.handle.net/1969.1/164579
dc.description.abstractIn this paper, we look at the performance of a time-delay neural network in a scenario requiring memory as well as reactivity. Utilizing a ball catching scenario where the agent will have to move to catch a falling ball, and then remembering where the second one was relative to its position in order to catch the second, we can determine how the time-delay neural networks perform in these tasks. For comparison to previous work with this scenario, we will compare the performance to a feed-forward network and a recurrent neural network.
dc.format.mimetypeapplication/pdf
dc.subjectneural networks
dc.subjectartificial intelligence
dc.subjectneuroscience
dc.subjectcomputer science
dc.subjectgenetic algortihms
dc.titleAnalysis of Time-Delay Artificial Neural Networks in Ball Catching Task
dc.typeThesis
thesis.degree.departmentComputer Science & Engineering
thesis.degree.disciplineComputer Science
thesis.degree.grantorUndergraduate Research Scholars Program
thesis.degree.nameBS
thesis.degree.levelUndergraduate
dc.contributor.committeeMemberChoe, Yoonsuck
dc.type.materialtext
dc.date.updated2017-10-10T20:32:28Z


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