Predictive Analytics Using Genetic Programming

Keywords

Evolutionary Algorithms; Genetic Programming; NASA Shuttle

Abstract

Predictive analytics is defined as the discovery of valuable patterns and relationships in structured and/or unstructured data environments using statistical and AI techniques to develop decision making systems that calculate future outcomes. The analyst must uncover and build an initial underlying structure of the problem and then support modeling strategies to find appropriate models and abstractions to build a predictive system. The goal of these predictive systems is to calculate future outcomes (with the respective risk levels) and tendencies. This paper introduces genetic programming as a predictive modeling technique which can be the core of a predictive system. To further explain the introduced framework with genetic programming, an actual case study with the Reinforced Carbon-Carbon structures of the NASA Space Shuttle is used.

Publication Date

1-1-2017

Publication Title

Artificial Intelligence: Advances in Research and Applications

Number of Pages

171-193

Document Type

Article; Book Chapter

Personal Identifier

scopus

Socpus ID

85044640187 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85044640187

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