Estimation of Project Completion Time-Based on a Mixture of Expert in an Interactive Space

摘要: Estimation the time and cost of completing projects on basis decision making to use either estimation methods are one most important issues in project management. In this paper, a database learning machines, is proposed, that set possible estimator working together estimate completion time, it. This cooperation based samples neighborhood feature space. One issues, machines facing it, complexity space, because features with high-correlation. avoid problem, principal component analysis (PCA) method used accuracy has increase, addition to, increasing system speed. Moreover, ensemble, have higher reliability ability generalization, compared single methods. Furthermore, hybrid method, (PCA ensemble), all above mentioned advantages. Therefore, control, using more powerful also proposed model, manage existing poor estimators, other method. end, software code was created, which provides connect MSP.