Computer Science – Learning
Scientific paper
2012-03-21
Computer Science
Learning
Scientific paper
The past century was era of linear systems. Either systems (especially industrial ones) were simple (quasi)linear or linear approximations were accurate enough. In addition, just at the ending decades of the century profusion of computing devices were available, before then due to lack of computational resources it was not easy to evaluate available nonlinear system studies. At the moment both these two conditions changed, systems are highly complex and also pervasive amount of computation strength is cheap and easy to achieve. For recent era, a new branch of supervised learning well known as surrogate modeling (meta-modeling, surface modeling) has been devised which aimed at answering new needs of modeling realm. This short literature survey is on to introduce surrogate modeling to whom is familiar with the concepts of supervised learning. Necessity, challenges and visions of the topic are considered.
No associations
LandOfFree
Very Short Literature Survey From Supervised Learning To Surrogate Modeling does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Very Short Literature Survey From Supervised Learning To Surrogate Modeling, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Very Short Literature Survey From Supervised Learning To Surrogate Modeling will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-488958