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- Title
INFERENCE-BASED BAYESIAN NETWORK FOR THREATENED TREE SPECIES.
- Authors
Getachew, Behailu
- Abstract
In the recent years, Bayesian Net (BN) is an increasingly popular formalism for reasoning and decision-making in problems that involve uncertainty and probabilistic reasoning. Bayesian Net gives the new advancements and innovations in Threatened Tree Species and also fulfilling the barriers between Knowledge Representation and Artificial intelligence. The species degradation calls for uncertainty management technique that aims at developing knowledge base and evaluating the status of the species. BN is a machine learning tool to provide an opportunity for predicting the species uncertainties in an Artificial intelligence system. This paper reports a comparison of BN-based and subjective (elicit-based) prediction modeling and hence, relevant inference examples have been taken from the generated conditional probability table (CPT) so as to define decision making of the problem domain. The results demonstrate the performance prediction and inference BN model for biological variables or knowledge base via Three-Phase-Dependency Analysis algorithm.
- Publication
i-manager's Journal on Future Engineering & Technology, 2011, Vol 6, Issue 3, p45
- ISSN
0973-2632
- Publication type
Article
- DOI
10.26634/jfet.6.3.1413