Abstract
The paper describes the development and application of several techniques for knowledge extraction from trained ANN models, such as the identification of redundant inputs and hidden neurons, deriving of causal relationships between inputs and outputs, and analysis of the hidden neuron behavior in classification ANN. Example of the application of these techniques is given of the faulty LED display benchmark. References of the application of these techniques are given of diverse large scale ANN models of industrial processes.
| Original language | English |
|---|---|
| Pages (from-to) | 3030-3035 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 4 |
| State | Published - 1 Dec 1997 |
| Externally published | Yes |
| Event | Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA Duration: 12 Oct 1997 → 15 Oct 1997 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture