Statistical Evaluation of Neural Network Experiments: Minimum Requirements and Current Practice

This work concerns the necessity of statistical evaluation of neural network experiments. This necessity is motivated by applying fundamental notions of statistical hypotheses testing to neural network research. Minimum requirements concerning statistical evaluation are developed and the appropriate statistical techniques are introduced. Articles from two leading neural network journals are examined and critizised for the lack of statistical evaluation they contain.