NNbenchmark (version 3.2.0)

mIshigami: Dataset mIshigami

Description

A multivariate dataset (x1, x2, x3, y) of class matrix and dim 500 x 4 to be fitted by a neural network with 10 hidden neurons (51 parameters).

References

Ishigami, T., & Homma, T. (1990, December). An importance quantification technique in uncertainty analysis for computer models. In Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on (pp. 398-403). IEEE.

See also https://www.sfu.ca/~ssurjano/ishigami.html

Examples

# NOT RUN {
ht(mIshigami)
pairs(mIshigami)
# }