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Forward Modelling

In the SR model, forward and backscatter rate constants are employed to model the spectral transport terms ... [Pg.386]

Forces for Hyun-Spaldina Model forwarding force at the barrel wall and centered on surface. force due to pressure and centered on surface. [Pg.710]

At times, the researcher wants to predict y based on specific x, values. In estimating a mean response for Y, one needs to specify a vector of x, values within the range in which the y model was constructed. For example, in Example 4.2, looking at the regression equation that resulted when the x, were added to the model (forward selection), we finished with... [Pg.192]

Kinetics of Molybdenum Adsoiption. Zhang and Sparks 41) examined molybdate adsorption on goethite using pressure jump relaxation experiments. Molybdate adsorption was proposed to occur via two steps, an initial outer-sphere complex and subsequent replacement of a water molecule by formation of an inner-sphere complex of Mo04, based on optimized fits using the triple layer model. Forward rate constants were on the order of 4x10 L mol s and 40 s for the first and second reaction steps. [Pg.170]

In the single-factor HJM model, forward rates of all maturities move in perfect correlation. For actual market applications— pricing an interest rate instrument that is dependent on the spread between two points on... [Pg.78]

Today industry is seeking new pathways to competitive positioning and ways to driving business models forward. Currently, many models exist, and new additions like the e-services built around e-supply chain networks are increasingly targeting meeting customer needs. These models still lack a customerization (one-on-one business-to-individual-customer relationship) approach, and consequentlyneed further enhancements. Service value networks offer a comprehensive pathway towards enhanced competitiveness. [Pg.74]

In Type III partnerships, each partner is viewed as an extension of the other, and the time frame for the partnership has no time limit. Lambert and Knemeyer have taken this model forward to a process for partnership formulation described in the next chapter. [Pg.210]

Practitioners have highlighted the use of the cubic spline approach to model forward curves and their limitations. We will use our empirical data to highlight typical forward rate behavior under the cubic spline technique. Our sample data does not reflect actual market conditions and is an extreme data set, to say the least. However, it does highlight a point with regard to forward rates that can often be observed sometimes under normal market conditions. To this end, we isolate the last subset of the data, as shown previously, and plot the forward rates for that data set in FIGURE 5.14. [Pg.114]

Keywords— Rehabilitation Robot, Modeling, Neural MEMO NARX Model, Forward Dynamic Identification. [Pg.39]

Forward modelling is the first step for inverting data for the reconstruction of the defect. For this purpose, the specialised code is better adapted because it is faster than the general code. [Pg.147]

This paper is structured as follows in section 2, we recall the statement of the forward problem. We remind the numerical model which relates the contrast function with the observed data. Then, we compare the measurements performed with the experimental probe with predictive data which come from the model. This comparison is used, firstly, to validate the forward problem. In section 4, the solution of the associated inverse problem is described through a Bayesian approach. We derive, in particular, an appropriate criteria which must be optimized in order to reconstruct simulated flaws. Some results of flaw reconstructions from simulated data are presented. These results confirm the capability of the inversion method. The section 5 ends with giving some tasks we have already thought of. [Pg.327]

These equations are the coupled system of discrete equations that define the rigorous forward problem. Note that we can take advantage of the convolution form for indices (i — I) and (j — J). Then, by exciting the conductive media with a number N/ oi frequencies, one can obtain the multifrequency model. The kernels of the integral equations are described in [13] and [3j. [Pg.328]

Accurate modelling of the field radiated by ultrasonic transducers is an essential step forward considering the final goal of the complete simulation of pulse echo experiments. [Pg.735]

The classical microscopic description of molecular processes leads to a mathematical model in terms of Hamiltonian differential equations. In principle, the discretization of such systems permits a simulation of the dynamics. However, as will be worked out below in Section 2, both forward and backward numerical analysis restrict such simulations to only short time spans and to comparatively small discretization steps. Fortunately, most questions of chemical relevance just require the computation of averages of physical observables, of stable conformations or of conformational changes. The computation of averages is usually performed on a statistical physics basis. In the subsequent Section 3 we advocate a new computational approach on the basis of the mathematical theory of dynamical systems we directly solve a... [Pg.98]

Let us start with a classic example. We had a dataset of 31 steroids. The spatial autocorrelation vector (more about autocorrelation vectors can be found in Chapter 8) stood as the set of molecular descriptors. The task was to model the Corticosteroid Ringing Globulin (CBG) affinity of the steroids. A feed-forward multilayer neural network trained with the back-propagation learning rule was employed as the learning method. The dataset itself was available in electronic form. More details can be found in Ref. [2]. [Pg.206]

The BET treatment is based on a kinetic model of the adsorption process put forward more than sixty years ago by Langmuir, in which the surface of the solid was regarded as an array of adsorption sites. A state of dynamic equilibrium was postulated in which the rate at which molecules arriving from the gas phrase and condensing on to bare sites is equal to the rate at which molecules evaporate from occupied sites. [Pg.42]

A procedure involving only the wall area and based on the cylindrical pore model was put forward by Pierce in 1953. Though simple in principle, it entails numerous arithmetical steps the nature of which will be gathered from Table 3.3 this table is an extract from a fuller work sheet based on the Pierce method as slightly recast by Orr and DallaValle, and applied to the desorption branch of the isotherm of a particular porous silica. [Pg.136]

Other models consider the steps up to and including Ag formation to be rapid in both the forward and reverse directions, thereby setting up an equihbrium condition involving, Ag, and Br, where is a trapped hole and Br is the result of Br neutralization by. In estabUshing... [Pg.452]

The feedforward control strategy (Fig. lb) addresses the disadvantages of the feedback control strategy. The feedforward control strategy measures the disturbance before it affects the output of the process. A model of the process determines the adjustment ia the manipulated variables(s) to compensate for the disturbance. The information flow is therefore forward from the disturbances, before the process is affected, to the manipulated variable iaputs. [Pg.61]

The Back Pressure Regulator (BPR) shown at the end can be a gas dome-loaded Grove Inc. regulator or a spring-loaded Tescom model. The same holds for the forward pressure regulators. Instead of regulators, controllers can be used too, especially since small electronic control valves are now available. [Pg.91]


See other pages where Forward Modelling is mentioned: [Pg.155]    [Pg.2381]    [Pg.64]    [Pg.360]    [Pg.52]    [Pg.93]    [Pg.194]    [Pg.34]    [Pg.155]    [Pg.2381]    [Pg.64]    [Pg.360]    [Pg.52]    [Pg.93]    [Pg.194]    [Pg.34]    [Pg.326]    [Pg.329]    [Pg.436]    [Pg.754]    [Pg.820]    [Pg.854]    [Pg.1800]    [Pg.2585]    [Pg.2587]    [Pg.464]    [Pg.94]    [Pg.521]    [Pg.415]    [Pg.75]    [Pg.349]    [Pg.144]    [Pg.360]    [Pg.24]    [Pg.142]   
See also in sourсe #XX -- [ Pg.548 ]

See also in sourсe #XX -- [ Pg.158 ]




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Discrete form of 2-D forward modeling operator

Discrete forms of 3-D gravity and magnetic forward modeling operators

Forward

Forward Modeling Results

Forward Selection Predictor Variables Added into the Model

Forward and Inverse Modeling

Forward model

Forward modeling

Forward modeling

Forward models disadvantages

Forwarder

Frechet derivative for the elastic forward modeling operator

Model organisms used in forward chemical genomics

Modeling forward-predictive

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