Bayesian probabilistic reasoning in design
| Autor: | Yang Xiang, John Dewey Jones, S. W. Joseph |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
business.industry
Computer science Bayesian network ComputerApplications_COMPUTERSINOTHERSYSTEMS Machine learning computer.software_genre Bayesian inference Probabilistic argumentation Variable-order Bayesian network Bayesian statistics Probabilistic design Bayesian programming Graphical model Artificial intelligence business computer |
| Zdroj: | Proceedings of IEEE Pacific Rim Conference on Communications Computers and Signal Processing. |
| DOI: | 10.1109/pacrim.1993.407312 |
| Popis: | The application of Bayesian reasoning to engineering design is discussed. The decisions involved in the design process can be represented as nodes in a Bayesian network. The conditional probability that a child node in this network will take a desired value, given the values of its parents, can be estimated from a database built up from simulations of past designs, or from suitably encoded empirical principles. Bayesian probabilistic reasoning can then be used to calculate the probability of particular choices leading to a successful design. In this way the most promising alternatives can be investigated first. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|