Using Matlab and the System Identification Toolbox to Estimate Time Series Models Jim McLellan February, 2004

Using the Izhikevich neuron model and a parallel model oriented to FPGA is a viable and feasible option to design a spiking neural network architecture adhered to biology being

This study aims to: (1) create an explanatory model to establish the relationships between moderate- vigorous physical activity time, screen time, family support, and peer support

We propose to model the software system in a pragmatic way using as a design technique the well-known design patterns; from these models, the corresponding formal per- formance

Using empirical analysis, econometric models, and time series data from 1990 to 2010, this paper finds that though the relationship between income inequality and

In general terms, our model predicts that selfish agents choose the allocation that maximizes their own monetary earnings whereas principled agents choose the same allocation

Different configurations of hybrid model combining wavelet analysis and artificial neural network for time series forecasting of monthly precipitation have been developed and

In both cases, the transitions are attributed classes (shown in red, ma- genta, and green) with high autocorrelation, variance, and MSE compared to the class of the preceding

For example, we can check whether a relation or the whole transformation is applicable in the forward direction (i.e., whether there is a source model enabling a relation), forward