Results 21 to 30 of about 4,423,036 (299)
Forecasting Volatility of Dhaka Stock Exchange: Linear Vs Non-linear models
International Journal of Science and Engineering, 2012 Prior information about a financial market is very essential for investor to invest money on parches share from the stock market which can strengthen the economy.
Masudul Islam +2 more
doaj +1 more source
Non-linear Hamiltonian models for DNA
European Biophysics Journal, 2022 Nucleic acids' physical properties have been investigated by theoretical methods based both on fully atomistic representations and on coarse-grained models, e.g., the worm-like-chain, taken from polymer physics. In this review article, I discuss an intermediate (mesoscopic) approach and show how to build a three-dimensional Hamiltonian model which ...
openaire +2 more sources
Non-linear coupled CNN models for multiscale image analysis [PDF]
, 2006 A CNN model of partial differential equations (PDEs) for image multiscale analysis is proposed. The model is based on a polynomial representation of the diffusivity function and defines a paradigm of polynomial CNNs,for approximating a large class of ...
Alvarez +14 more
core +1 more source
3D Model Identification of a Soft Robotic Neck
Mathematics, 2021 Soft robotics is becoming an emerging solution to many of the problems in robotics, such as weight, cost and human interaction. In order to overcome such problems, bio-inspired designs have introduced new actuators, links and architectures.
Fernando Quevedo +3 more
doaj +1 more source
Performance Evaluation of Machine Learning Models in Predicting Dry and Wet Climatic Phases [PDF]
Journal of Soft Computing in Civil Engineering, 2020 Water resource and environmental engineers need accurate information in harnessing water for diverse uses, therefore it is expedient to accurately predict dry and wet climatic phases in order to ensure optimum water resource planning and management. This
Oluwatobi Aiyelokun +2 more
doaj +1 more source
Automatic Selection for Non-linear Models [PDF]
, 2012 Our strategy for automatic selection in potentially non-linear processes is: test for non-linearity in the unrestricted linear formulation; if that test rejects, specify a general model using polynomials, to be simplified to a minimal congruent representation; finally select by encompassing tests of specific non-linear forms against the selected model.
Jennifer Castle, David Hendry
openaire +4 more sources
Twisting gauged non-linear sigma-models
, 2008 We consider gauged sigma-models from a Riemann surface into a Kaehler and hamiltonian G-manifold X. The supersymmetric N=2 theory can always be twisted to produce a gauged A-model.
A. Dancer +32 more
core +3 more sources
Non-linear susceptibilities of spherical models
, 2006 The static and dynamic susceptibilities for a general class of mean field random orthogonal spherical spin glass models are studied. We show how the static and dynamical properties of the linear and nonlinear susceptibilities depend on the behaviour of ...
Ballesteros H G +25 more
core +1 more source
Non-Canonical Perturbation Theory of Non-Linear Sigma Models
, 2010 We explore the O(N)-invariant Non-Linear Sigma Model (NLSM) in a different perturbative regime from the usual relativistic-free-field one, by using non-canonical basic commutation relations adapted to the underlying O(N) symmetry of the system, which ...
Aldaya V. +9 more
core +1 more source
S-AMP for Non-linear Observation Models [PDF]
, 2015 Recently we extended Approximate message passing (AMP) algorithm to be able to handle general invariant matrix ensembles. In this contribution we extend our S-AMP approach to non-linear observation models.
Fleury, Bernard H. +2 more
core +2 more sources