Nevronsko generirana odločitvena drevesa /
In this paper we describe combining of neural networks and decision trees in order to avoid their mutually exlusive disadvantages. First we build a decision tree that is than trained using the same training objects. After that the neural network is again converted to a decision tree, which is better...
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| Main Authors: | , |
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| Format: | Book Chapter |
| Jezik: | Slovenian |
| Teme: | |
| Sorodne knjige/članki: | Vsebovano v:
Zbornik osme Elektrotehniške in računalniške konference ERK '99, 23. - 25. september 1999, Portorož, Slovenija |
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| Izvleček: | In this paper we describe combining of neural networks and decision trees in order to avoid their mutually exlusive disadvantages. First we build a decision tree that is than trained using the same training objects. After that the neural network is again converted to a decision tree, which is better than the original decision trees. The results show that the proposed approach outperforms the classical approaches in majority of cases. |
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| Fizični opis: | str. 143-146. |
| Bibliografija: | Bibliografija: str. 146. Abstract. |
| ISBN: | 9616062174 |