The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks. Abstract: To date ...
The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks · Abstract · Citations (436) ...
: EXTRACTING THE KNOWLEDGE EMBEDDED WITHIN TRAINED ARTIFICIAL NEURAL NETWORKS. 1061. TABLE I. THE RX ALGORITHM. 1. Train and prune the neural network. 2 ...
This paper shows that not only is the ADT taxonomy applicable to a cross section of current techniques for extracting rules from trained feedforward ANN's ...
Andrews, M. Goela and J. Diederich, “The Truth Will Come to Light Directions and Challenges in Extracting the Knowledge Embedded within Trained Artificial ...
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Rule refinement provides a link between the symbolic and connectionist learning paradigms. To date the symbolic domain knowledge incorporated into neural ...
One of the major drawbacks of neural network models is that they could not explain what they have done. Extracting rules from trained neural networks is one of ...
The truth will come to light: Directions and challenges in extracting the knowledge embedded within trained artificial neural networks. AB Tickle, R Andrews ...
Active research into processes and techniques for extracting the knowledge embedded within trained artificial neural networks has continued unabated for ...
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Dec 17, 2021 · A large-scale review and analysis of the existing methods and approaches to extract rules from artificial neural networks, including deep ...