ニューロ判別モデルにおけるシミュレーション研究(一般講演3A)

抄録

The machine learning is a method to be effective in the non-linear multivariate statistical analysis. These methods are affected by the sample size, because the machine learning suppose there are many samples in the data. As an example of machine learning, we use a feed-forward neural network, and show that it is more effectively than a conventional statistical analysis such as Fisher's discriminant analysis and quadratic discriminant analysis. Through the simulated data, we also investigate that the machine learning algorithm is affected by the sample size.