Covariance-based locally weighted partial least squares for high-performance adaptive modeling

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Adaptive Weighted Least Squares Algorithm for Volterra Signal Modeling

This paper presents a novel algorithm for least squares (LS) estimation of both stationary and nonstationary signals which arise from Volterra models. The algorithm concerns the recursive implementations of the method of LS which usually have a weighting factor in the cost function. This weighting factor enables nonstationary signal models to be tracked. In particular, the behavior of the weigh...

متن کامل

Locally Weighted Least Squares Temporal Difference Learning

This paper introduces locally weighted temporal difference learning for evaluation of a class of policies whose value function is nonlinear in the state. Least squares temporal difference learning is used for training local models according to a distance metric in state-space. Empirical evaluations are reported demonstrating learning performance on a number of strongly non-linear value function...

متن کامل

Modeling the Performance of Humanitarian Supply Chain Management with the Help of Partial Least Squares (PLS)

BACKGROUND: Increasing the incidence of natural disasters around the world has led to increased concerns about the social and economic development of developed countries. Natural disasters are inevitable, but they can be taken to reduce their negative impacts on countries. Organizations involved in managing these crises must regulate their supply chain and make the necessary changes to improve ...

متن کامل

Weighted Least Squares and Adaptive Least Squares: Further Empirical Evidence

This paper compares ordinary least squares (OLS), weighted least squares (WLS), and adaptive least squares (ALS) by means of a Monte Carlo study and an application to two empirical data sets. Overall, ALS emerges as the winner: It achieves most or even all of the efficiency gains of WLS over OLS when WLS outperforms OLS, but it only has very limited downside risk compared to OLS when OLS outper...

متن کامل

Co-learning with a locally weighted partial least squares for soft sensors of nonlinear processes

A method to improve adaptivity of soft sensors is investigated in this paper. Soft sensors have become very important in the chemical industry to achieve a highly efficient, high-quality and safe production system. Among the various methods, partial least squares (PLS) method is the most used for soft sensors. In this research, a co-learning style locally weighted PLS method which utilizes a se...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Chemometrics and Intelligent Laboratory Systems

سال: 2015

ISSN: 0169-7439

DOI: 10.1016/j.chemolab.2015.05.007