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RISInterval Support Vector Machine in Regression Analysis
Support vector machines (SVMs) have been widely applied in regression analysis. In this
paper, the application of SVM in regression for interval samples is proposed. The standard
support vector regression (SVR), is a quadratic...
Solving of time varying quadratic optimal control problems by using Bézier control points
In this paper, linear quadratic optimal control problems are solved by applying least square method based on Bézier control points. We divide the interval which includes t, into k subintervals and approximate the trajectory and control functions...
Solving of time varying quadratic optimal control problems using Bernstein polynomials
Abstract: In this paper, linear and nonlinear quadratic optimal control problems are solved by
applying least square method based on Bernstein polynomials. We divide
the interval which includes t , into k subintervals...
A new continuous time optimal control model for manpower planning with promotion from inside the system
The aim of this paper is to face the manpower planning problem from a continuous time
optimal control perspective. A new continuous-time manpower planning model is proposed
in which the promotions occur inside ...
Using artificial neural network and quadratic algorithm for minimizing entropy generation of Al2O-EG/W nanofluid flow inside parabolic trough solar collector
Entropy generation minimization approach, quadratic optimization algorithm and artificial neural network (ANN) have been applied to find optimal condition of the turbulent Al2O3-60:40% EG/W nanofluid flow inside the absorber tube of a parabolic...
Power Consumption Scheduling for Future Connected Smart Homes Using Bi-Level Cost-Wise Optimization Approach
-level quadratic optimization approach of a well-defined convex cost function. Therefore we show that this goal can be fulfilled with a bi-level scheduler unit installed inside the smart meters. In addition our proposed model can also achieve the global optimal...