Neural networks (NNs) belong to 'black box' models and therefore 'suffer' from interpretation difficulties. Four recent methods inferring variable influence in NNs are compared in this paper. The methods assist the interpretation task during different phases of the modeling procedure. They belong to
Least-inference methods for constructing networks of trophic flows
โ Scribed by Robert E. Ulanowicz; Ursula M. Scharler
- Book ID
- 113577808
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 477 KB
- Volume
- 210
- Category
- Article
- ISSN
- 0304-3800
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