A Confidence Interval-Based Process Optimization Method Using Second-Order Polynomial Regression Analysis
نویسندگان
چکیده
منابع مشابه
A confidence-aware interval-based trust model
It is a common and useful task in a web of trust to evaluate the trust value between two nodes using intermediate nodes. This technique is widely used when the source node has no experience of direct interaction with the target node, or the direct trust is not reliable enough by itself. If trust is used to support decision-making, it is important to have not only an accurate estimate of trust, ...
متن کاملDAMAGE DETECTION IN THIN PLATES USING A GRADIENT-BASED SECOND-ORDER NUMERICAL OPTIMIZATION TECHNIQUE
The purpose of the present study is the damage detection in the thin plates in terms of the wide application of such structures in various branches of engineering such as structural, mechanical, aerospace, shipbuilding, etc. using gradient-based second-order numerical optimization techniques. The technique used for optimization in this study is the second-order Levenberg-Marquardt algorithm (SO...
متن کاملA second-order conic optimization-based method for visual servoing
0957-4158/$ see front matter 2012 Elsevier Ltd. A doi:10.1016/j.mechatronics.2012.01.010 ⇑ Corresponding author. Tel.: +1 416 979 5000x709 E-mail addresses: [email protected], eissa.nemato Nematollahi), [email protected] (A. V (F. Janabi-Sharifi). 1 Present address: Rotman School of Management, U This work presents a novel method for the visual servoing control problem based on second...
متن کاملSecond order sensitivity analysis for shape optimization of continuum structures
This study focuses on the optimization of the plane structure. Sequential quadratic programming (SQP) will be utilized, which is one of the most efficient methods for solving nonlinearly constrained optimization problems. A new formulation for the second order sensitivity analysis of the two-dimensional finite element will be developed. All the second order required derivatives will be calculat...
متن کاملInterval Arithmetic Based Optimization in Nonlinear Regression
The optimization problems occurring in nonlinear regression normally cannot be proven unimodal. In the present paper applicability of global optimization algorithms to this problem is investigated with the focus on interval arithmetic based algorithms.
متن کاملذخیره 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: Processes
سال: 2020
ISSN: 2227-9717
DOI: 10.3390/pr8101206