Interpreting neural-network results: a simulation study

Artificial neural networks (ANN) seem very promising for regression and classification, especially for large covariate spaces. Yet, their usefulness for medical and social research is limited because they present only prediction results and do not present features of the underlying process relating...

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Veröffentlicht in:	Computational statistics & data analysis 2001-09, Vol.37 (3), p.373-393
Hauptverfasser:	Intrator, Orna, Intrator, Nathan
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications Data mining tools Diagnosis Exact sciences and technology Inference from stochastic processes time series analysis Interaction effects Linear inference, regression Logistic regression Mathematics Multivariate analysis Nonlinear models Probability and statistics Regression analysis Reliability, life testing, quality control Sciences and techniques of general use Splitlevel plots Statistics Tumors
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