Concepedia

A comparison of methods for assessing the relative importance of input variables in artificial neural networks

Hassan, Omar Maghawri Ibrahim

The Journal of applied sciences research · 2013 · 75 citations · 16 references

Open access

Concepts

ComputingComputer ScienceArtificial IntelligenceMachine LearningStatistical ModelingInput-output AnalysisNeural ModelingNeural NetworksOverfittingPattern RecognitionActivation VectorsArtificial Neural Network SurrogatesFeature ImportanceImportance MeasuresInput Variable AllocationInput VariablesNeural Network Classification

References

16

Applied Linear Regression

Richard J. Beckman, Sanford Weisberg · Technometrics · 1987 · 2.9K citations

Natural Sciences, Biostatistics, Psychometrics +16

Methods of Analysis for Soils, Plants and Waters

HOMER D. CHAPMAN, P. F. Pratt · Soil Science · 1962 · 2.5K citations

Agriculture, Earth Sciences, Soil Sciences +12

Interpreting neural-network connection weights

G. David Garson · AI Expert archive · 1991 · 1.5K citations

Computing, Computer Science, Machine Learning +8

Review and comparison of methods to study the contribution of variables in artificial neural network models

Muriel Gevrey, Ioannis Dimopoulos, Sovan Lek · Ecological Modelling · 2003 · 1.2K citations

Computing, Computer Science, Artificial Intelligence +11

Illuminating the “black box”: a randomization approach for understanding variable contributions in artificial neural networks

Julian D. Olden, Donald A. Jackson · Ecological Modelling · 2002 · 1.2K citations

Computing, Computer Science, Data Science +16