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Empirical investigation of decision tree extraction from neural networks

Rangwala, Maimuna H

Abstract Details

2006, Master of Science (MS), Ohio University, Industrial and Manufacturing Systems Engineering (Engineering).

The purpose of this thesis is to develop heuristics for employing Trepan, an algorithm for extracting decision trees from neural networks. Typically, several parameters need to be chosen to obtain a satisfactory performance of the algorithm. The current understanding of the various interactions between these is not well understood. By empirically evaluating the performance of the algorithm on a test set of databases chosen from benchmark machine learning and real world problems, several heuristics are proposed to explain and improve the performance of the algorithm. The experimentation is further validated by performance statistic measures. The algorithm is extended to work for multi-class regression problems and its ability to comprehend generalized feedforward networks is investigated. This work thus serves to provide improvements, an increased understanding of the behavior of the algorithm and heuristics to choose parameters for a better performance.

Gary Weckman (Advisor)
201 p.

Recommended Citations

Citations

  • Rangwala, M. H. (2006). Empirical investigation of decision tree extraction from neural networks [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1151608193

    APA Style (7th edition)

  • Rangwala, Maimuna. Empirical investigation of decision tree extraction from neural networks. 2006. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1151608193.

    MLA Style (8th edition)

  • Rangwala, Maimuna. "Empirical investigation of decision tree extraction from neural networks." Master's thesis, Ohio University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1151608193

    Chicago Manual of Style (17th edition)