Integrating Bayesian and Neural Networks as an Alternative to an Equation-Based Approach
Omschrijving
Modeling and Simulation is an important tool in many
fields of science and engineering. When properly
used, it can save time and money as compared to
prototypes or experiments. Current practice is to
use an equation-based approach. However, equation-
based models that accurately represent the real
world can require extensive time and money to
construct. This research was conducted to explore
alternate methods of creating accurate models and
simulations that could be done rapidly and at much
lower cost. The research compared engineering
modeling applications for time of construction and
the accuracy between equation-based models and three
methods of Bayesian network construction: human
judgment, formulae and computer-generated with
neural network integration. While the human
judgment and formulae models showed no advantages,
the computer-generated Bayesian networks were both
much faster to construct and more accurate as
compared to equivalent equation-based models.
Ik heb een vraag over het boek: ‘Rapid, Low Cost Modeling and Simulation - Brown, Professor of Modern History David (University of Manchester UK)’.
Vul het onderstaande formulier in.
We zullen zo spoedig mogelijk antwoorden.
