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dc.contributor.advisorMcGee, Daniel L.
dc.contributor.authorMaldonado-Colberg, Elisa M.
dc.date.accessioned2019-04-15T15:50:42Z
dc.date.available2019-04-15T15:50:42Z
dc.date.issued2006
dc.identifier.urihttps://hdl.handle.net/handle/20.500.11801/1987
dc.description.abstractThis work presents an algorithm that uses backpropagating neural networks and their ability to find logistic regression coefficients as a useful tool that may outperform other conventional methods for finding the change-point of a data set. To seek this objective, we first demonstrate the capacity of a one-layered neural network to find logistic regression coefficients. Then, we add another layer to the network in order to determine if two-layer discriminants would allow us to approximate the change-point. We then develop an algorithm based on hidden layer coefficients of neural networks that allows us to assess change-points based on when a neural network switches from one “neuron” to another.en_US
dc.description.abstractEste trabajo presenta un algoritmo que utiliza redes neurales artificiales de retropropagación y su habilidad para encontrar coeficientes de regresión logística como herramienta útil que puede superar métodos convencionales para hallar el punto de cambio en un conjunto de datos. Para lograr este objetivo, primero se demuestra la capacidad que tiene una red neural de un nivel para encontrar coeficientes de regresión logística. Entonces, añadimos otro nivel adicional a la red neural para determinar si los dos discriminantes que ésta calculó nos aproximan al punto de cambio. Luego, se creó un algoritmo basado en coeficientes de un nivel escondido de la red que nos ayudará a encontrar los puntos de cambio basándonos en el momento en que la red se mueve de una neurona a otra.en_US
dc.description.sponsorshipGrant from NSF PRECISEen_US
dc.language.isoEnglishen_US
dc.subjectBackpropagating neural networksen_US
dc.titleThe use of backpropagating neural networks in coordination with logistic spline coefficients to obtain the change-pointen_US
dc.typeThesisen_US
dc.rights.licenseAll rights reserveden_US
dc.rights.holder(c) 2006 Elisa M. Maldonado-Colbergen_US
dc.contributor.committeeAcar, Robert
dc.contributor.committeeVásquez-Urbano, Pedro
dc.contributor.representativeSeguel, Jaime
thesis.degree.levelM.S.en_US
thesis.degree.disciplineScientific Computingen_US
dc.contributor.collegeCollege of Arts and Sciences - Sciencesen_US
dc.contributor.departmentDepartment of Mathematicsen_US
dc.description.graduationYear2006en_US


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