Hayashi, Yoichi ; Sato, Ryusuke ; Mitra, Sushmita (2013) A new approach to three ensemble neural network rule extraction using recursive-rule extraction algorithm In: The 2013 International Joint Conference on Neural Networks (IJCNN), 04-09 August 2013, Dallas, TX, USA.
Full text not available from this repository.
Official URL: https://doi.org/10.1109/IJCNN.2013.6706823
Related URL: http://dx.doi.org/10.1109/IJCNN.2013.6706823
Abstract
In this paper, we propose a Three Ensemble neural network rule extraction algorithm. Then we investigate Hayashi's first question, “Can the Ensemble-Recursive-Rule eXtraction (E-Re-RX) algorithm be extended to an ensemble neural network consisting of three or more MLPs and extract comprehensible rules?” The E-Re-RX algorithm is an effective rule extraction algorithm for dealing with data sets that mix discrete and continuous attributes. Using the experimental results, we consider the three MLP ensemble Re-RX algorithm from various points of view. Finally, we present provisional positive conclusions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| Keywords: | Classification algorithms; Biological neural networks; Data mining; Algorithm design and analysis; Radio frequency; Decision trees. |
| ID Code: | 140162 |
| Deposited On: | 07 Sep 2025 05:27 |
| Last Modified: | 07 Sep 2025 05:27 |
Repository Staff Only: item control page
