Quality Control. In Business, Education and Manufacturing by Using Robust Models

      Аннотация: This book is about optimizing the parameters that affect the output. The model is needed for the best productions and less errors in outputs. In order to do this, first of all Kullback Liebler Divergence is used to identify the distance between pattern distribution and actualized distribution of an output. Secondly, Artificial Neural Network Model is proposed to find a solution to the problem and bring pattern and actualized distribution of an output to the closest position. Reader can find the way of solving the business, manufacturing, and educational problems by statistical and analytical means. This method is very important from the management point of view in order to reach the targeted outputs, productions etc.

Ключевые слова: Quality control, Quality Control in Education, Quality Control in Business, Quality Control in Manufacturing, Parameter Optimization, Kullback Liebler Divergence, Generalized Regression Neural Network Model