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Permanent magnet (PM) machines have been widely applied over the past few decades, such as renewable power generation, electric vehicles, domestic appliances, etc.
A generalized mathematical model is proposed for behaviors prediction of biological causal systems with multiple inputs and multiple outputs (MIMO). The system properties are represented by a set of model parameters, which can be derived with random input stimuli probing it. The system calculates predicted outputs based on the estimated parameters and its novel inputs. An efficient hardware architecture...
In this paper, support vector machine (SVM) technique is applied to predict the reliability of power distribution system. To determine the SVM models' optimal parameters for regression, particle swarm optimization algorithm is improved by combination with chaotic searching method (CPSO). The implementation approach of SVM for regression with CPSO (CPSO-SVR) is detailedly given. The CPSO-SVR models...
In the present study, 56 soil apparent electrical conductivity(ECa) profiles, which inversed by the procedure that combine the EM38 linear model with Tikhonov regularization from aboveground EM38 measurements, were selected as the datum source of 3D spatial variability. First, the horizontal and vertical variogram were analyzed, respectively. Then, Combining the variograms, a 3-D an isotropic variogram...
The study of growth model is a basic research in forest growth and yield modeling. Most of growth models were developed using ordinary regression method. It is assumed that the observations were independent and obey Gauss distribution. Those models reflect the average growth across different plots, but neglect the correlation and variance between individuals and plots. However, mixed-effects models...
There are many factors affect the accuracy of project duration forecasting, the lack of relative information and the complexity of the project are two major aspects. To overcome these constraints and establish a feasible forecasting model, this paper presents an improved method to forecast the project duration, which combines the earned schedule and artificial neural network. We adopt the artificial...
In this study, 56 ECa profiles, which inversed by the EM38 linear model with Tikhonov regularization method, were selected as the original datum of 3D variation. The spatial variability of ECa at ten depths was simulated by the SGS method. It was shown that not only the spatial distribution characteristics of the original data, but also the volatility of the distribution was well simulated by the...
Classical Mie theory fails to explain high resolution of a terahertz imaging system exploiting scattering of the near-field radiation. Reported numerical model confirms the feasibility of an antenna model which proves the enhanced resolution.
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