Abstract Machine learning methods have shown potential for the optimization of production processes. Due to complex relationships often inherent in those processes, success such is uncertain and unreliable. Therefore, understanding (algorithmic) behavior results machine crucial improve prediction Here, mathematical tools may help. This paper shows how efficient algorithms training neural networ...