640 search results - page 1 / 128 » Extracting Propositions from Trained Neural Networks |
IJCAI
1997
13 years 8 months ago
1997
This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
APIN
2010
13 years 7 months ago
2010
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
IJCAI
2007
13 years 8 months ago
2007
In this paper, we present a new decompositional approach for the extraction of propositional rules from feed-forward neural networks of binary threshold units. After decomposing t...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
DATE
2003
IEEE
14 years 19 days ago
2003
IEEE
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...