We present a numerical model capable of simulating adsorption/desorption based energy release/storage processes for given input material properties, operating conditions and geometric configurations.
Based on the proper values of absorptivity, an artificial neural network (ANN) model is developed for accurate and quick prediction of absorptivity for given input process conditions.
The optimum shape of a junction with given material, length and number of segments which maximizes the energy transmission for given input and output bars and a given incident wave of finite duration is determined numerically with the use of a quasi-Newton method.
For given input parameters c n is derived by solving K = E(g x ) numerically.
For given input and output signals the kinetic properties determine whether states are observable and/or controllable.
Whatever our grammar is, for given input x, all the trees generated by the grammar, which spell out x at their leaves, constitute the search space.
We now introduce the notion of a consensus network for given input adjacency matrices A(1), A(2),.... Intuitively, two nodes should be connected in a consensus network only if all of the input networks 'agree' on that connection.
We therefore define a sensitivity value to be practically identifiable for given input data if 95% of the distribution maintains a consistent sign, similar to definitions for parameter identifiability used in previous studies [ 7, 25].
Helping family caregivers prepare for, give input into, and handle transitions out of hospitals and institutions and back into the community is the focus of another innovative practice (Levine, Halper, Rutberg, & Gould, 2013).
Nowadays, simulation tools are available for calculating the thermal loads of multiple rooms of buildings, for given inputs.
