Analysis of the use of repulsors to improve generalization ability in genetic programming : an application to symbolic regression problems

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management

Bibliographic Details
Main Author: Canelhas, Jorge Miguel Silvestre (author)
Format: masterThesis
Language:eng
Published: 2018
Subjects:
Genetic algorithm
Genetic programming
Machine learning
Repulsor
Overfitting
Symbolic regression
Online Access:http://hdl.handle.net/10362/28931
Country:Portugal
Oai:oai:run.unl.pt:10362/28931

Internet

http://hdl.handle.net/10362/28931

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