113 articles about neural network learning algorithms published in
1993 and 1994 are examined for the amount of experimental
evaluation they contain. Every third of them does employ not even
a single realistic or real learning problem. Only 6% of all
articles present results for more than one problem using real
world data.Furthermore, one third of all articles does not present
any quantitative comparison with a previously known algorithm.
These results indicate that the quality of research in the
area of neural network learning algorithms needs improvement.
The publication standards should be raised and easily accessible
collections of example problems be built.