Abstract: In the current artificial intelligence and pattern recognition, Real Adaboost Algorithm, as for high accuracy rate and very fast specd,has been used more widely. As a result, we researched the theoretical basis of the Real Adaboost Algorithm conscientiously and analyzed the training procedures of classifiers based on the Real Adaboost Algorithm meticulously. In this course, we probed into the relationship between the mathematical variables involved in the algorithm; deduced the mathematical process involved in the algorithm quantitatively, and analyzed the reasons of problems appearing in training procedures qualitatively. At last, in order to improve the Real Adaboost Algorithm, we brought up several suggestions.

Key words: Real Adaboost algorithm, PCA model, Normalization factor, Testing rate, Excessive learning