Visual sensitivity analysis for artificial neural networks

Authors:
Roberto Therón;Juan Francisco De Paz
Affiliations:
Departamento de Informática y Automática, Facultad de Ciencias – Universidad de Salamanca, Salamanca, Spain;Departamento de Informática y Automática, Facultad de Ciencias – Universidad de Salamanca, Salamanca, Spain
Venue:
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Year:
2006

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Abstract

A challenge in ANN research is how to reduce the number of inputs to the model in high dimensional problems, so it can be efficiently applied. The ANNs black-box operation makes not possible to explain the relationships between features and inputs. Some numerical methods, such as sensitivity analysis, try to fight this problem. In this paper, we combine a sensitivity analysis with a linked multi-dimensional visualization that takes advantage of user interaction, providing and efficient way to analyze and asses both the dimension reduction results and the ANN behavior.