نتایج جستجو برای: minimization principal

تعداد نتایج: 156301  

This paper presents a multi-objective Particle Swarm Optimization (PSO) algorithm for worker assignment and mixed-model assembly line balancing problem when task times depend on the worker’s skill level. The objectives of this model are minimization of the number of stations (equivalent to the maximization of the weighted line efficiency), minimization of the weighted smoothness index and minim...

Journal: :Neural Networks 1995
Juha Karhunen Jyrki Joutsensalo

-We derive and discuss various generalizations of neural PCA (Principal Component Analysis)-type learning algorithms containing nonlinearities using optimization-based approach. Standard PCA arises as an optimal solution to several different information representation problems. We justify that this is essentially due to the fact that the solution is based on the second-order statistics only. I ...

Journal: :Probability Theory and Related Fields 2005

Journal: :Chemical reviews 2006
Stewart A Adcock J Andrew McCammon

3.2. Energy Minimization 1592 3.3. Adiabatic Mapping 1593 3.4. Molecular Dynamics 1593 3.4.1. Simulated Environment 1595 3.4.2. SHAKE 1595 3.4.3. Experimental Conditions 1596 3.4.4. Solvation 1596 3.5. Langevin Dynamics 1597 3.6. Brownian Dynamics 1597 3.7. Monte Carlo 1598 3.8. Simulated Annealing 1598 3.9. Nondynamic Methods 1598 3.9.1. Conformational Sampling 1598 3.9.2. Principal Component ...

2008
Niva Das Aurobinda Routray Pradipta Kishore Dash Pradipta K. Dash

− The paper presents comparative assessment of Blind Source Separation methods for instantaneous mixtures. The study highlights the underlying principles of Principal Component Analysis (PCA) and Independent Component Analysis (ICA) in this context. These methods have been tested on instantaneous mixtures of synthetic periodic signals, monotonous noise from electromechanical systems and speech ...

2006
Alexander Zemliak

The problem of analog system design for a minimal computer time has been formulated as the functional minimization problem of the control theory. The design process in this case is formulated as the controllable dynamic system. The optimal sequence of the control vector switch points was determined as a principal characteristic of the minimal-time system design algorithm. The different forms of...

2000
Jong-Eun Ha Jin-Young Yang In-So Kweon

We present a practical self-calibration algorithm that only requires a linear projective reconstruction. Recently, many self-calibration algorithms that use only the information in the image have been proposed. But most algorithms require bundle adjustments in the projective reconstruction or in the nonlinear minimization. We overcome the sensitivity of the self-calibration algorithms due to th...

2012
ALEXANDER ZEMLIAK FERNANDO REYES JAIME CID TATIANA MARKINA

– The analog system optimization for a minimal computer time has been formulated as the functional minimization problem of the control theory. The design process in this case is formulated as the controllable dynamic system. The optimal sequence of the control vector switch points was determined as a principal characteristic of the minimal-time system design algorithm. The conception of the Lya...

1997
A. Hosaka

We study theoretically the baryon spectra in terms of a deformed oscillator quark (DOQ) model. This model is motivated by confinement of quarks and chiral symmetry breaking, which are the most important non-perturbative phenomena of QCD. The minimization of the DOQ hamiltonian with respect to the deformation for each principal quantum number results in deformations for the intrinsic states of e...

2012
Charles Guyon Thierry Bouwmans El-hadi Zahzah

Moving object detection is a key step in video surveillance system. Recently, Robust Principal Components Analysis (RPCA) shows a nice framework to separate moving objects from the background when the camera is fixed. The background sequence is then modeled by a low rank subspace that can gradually change over time, while the moving objects constitute the correlated sparse outliers. In this pap...

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