Computational intelligence in industrial applications

Abstract

In this chapter, we review the progress and the impact of computational intelligence for industrial applications sampled from the last 10 years of our personal careers and areas of research (all authors of this chapter do computational modeling for a living). This chapter is structured as follows. Section 57.2 introduces a classification of data-driven predictive analytics problems into three groups based on the goals and the information content of the data. Section 57.3 briefly covers most frequently used methods for predictive modeling and compares them in the context of available a priori knowledge and required execution time. Section 57.4 focuses on the importance of good workflows for successful predictive analytics projects. Section 57.5 provides several examples of such workflows. Section 57.6 concludes the chapter.