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Model-building, adaptive

B. Adaptive Model-Building with Diagnostic Parameters. 147... [Pg.97]

Molecular Mechanics Model Building. A three-dimensional molecular model builder routine interfaced to the ADAPT system (MOLMEC) is used to derive information on the spacial conformation of molecules. The molecules are viewed as collections of particles held together by simple harmonic or elastic forces. A strain energy can be defined for a molecule which is the sum of contributions for each of several items ... [Pg.112]

Fig. 3. Substrate binding site on Taka-amylase A deduced from electron density difference maps with the enzyme-maltose complex and model building. The seven saccharide binding sites are numbered. Presumed catalytic amino acids Asp-206 and Asp-297 surround the sessile glycoside bond. Glu-230 is considered as a possible catalytic amino acid as well because of its proximity to the reaction center. Adapted from Matsuura et al. (262) with permission from J. Biochem (Tokyo). Fig. 3. Substrate binding site on Taka-amylase A deduced from electron density difference maps with the enzyme-maltose complex and model building. The seven saccharide binding sites are numbered. Presumed catalytic amino acids Asp-206 and Asp-297 surround the sessile glycoside bond. Glu-230 is considered as a possible catalytic amino acid as well because of its proximity to the reaction center. Adapted from Matsuura et al. (262) with permission from J. Biochem (Tokyo).
Neural networks have also been used in model reference adaptive control (MRAC) structures (Figure 12.4) [Naranedra and Parthasarathy, 1990 Narendra, 1992]. This approach builds upon established techniques for adaptive linear control and incorporates neural networks to address the problem of controlling nonlinear systems. The MRAC approach is directed at adapting the controlled system such... [Pg.196]

Searching for the source of error is mainly an intuitive process, but one that is aided by close observation during the course of experiments and close adherence to protocols. Model building has to be repeated several times. The iterative nature of the adaptive model building process is of special importance not just for effective parameterization (Johnson and Berthouex, 1975a, b) but also for the whole process of conceptualization and working with mathematical models of kinetics. [Pg.53]

Model building is considered here as an adaptive process (cf. Fig. 2.18) It involves stepwise fitting of the parameters, fe, and discrimination of the function, /, itself. All of the models in this chapter should be considered as working hypotheses. The nature of formal kinetic descriptions means that other mathematical functions can always be found that serve the same descriptive function to within the precision of the measurements (see Esener et al, 1983). The lack of basic content in formal kinetic models in comparison with structured models (Harder and Roels, 1981 Roels and Kossen, 1978) can to some extent be compensated for by subsequent analysis (Esener et al., 1983 A. Moser, 1978b, 1984a). [Pg.197]

In conjunction with the irreplaceable element of intuition, which always serves as the starting point, mathematical models should be considered as working hypotheses that can assist process development. Within the framework of adaptive model building, these models can be compared with, and fitted to, the experimental reality of biological processes. [Pg.458]

Macromixing is the process whereby parts of a fluid having different histories come into contact and mix-up on a macroscopic scale. It is thus a consequence of the macroscopic hydrodynamic pattern. The development of powerful computer codes make it possible now to determine the average velocity pattern in any kind of equipment, at least in single phase newtonian fluids. This probably won t eliminate methods based on the characterization of complex flow by internal age distributions and residence time distributions (RTD), which can be determined with tracers. Such methods have proven their efficiency for building up flow models well adapted to scale up and to calculation of chemical conversion -... [Pg.534]

Interpretation using this framework is very powerful, in that the interpreter is able to adjust the level of the hierarchy adaptively, thus tailoring the size and shape of the model primitives to the information present in the seismic data. Hence, this framework supports model building using all scales at the same time. [Pg.240]

The next adaptation of this product, Version 2.2, was intended to deliver more flexible model building capability, with tetrahedral as well as hexahedral meshes supported. Tetrahedral meshes can handle extremely complex geometries. The combination of automated hex and tet meshing gives IcePak users better strategies when confronted with difficult modeling. [Pg.136]

The multizone airflow model COMIS is adapted as a TRNSYS type, to be used in combination with the TRNSYS Type 56 thermal multizone building model. Input is somewhat redundant. Separate input files are necessary for the thermal model and the ventilation model, but not for meteorological and link schedules. [Pg.1097]

The fundamental building block of most models of complex adaptive systems... [Pg.564]


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See also in sourсe #XX -- [ Pg.147 , Pg.148 , Pg.149 , Pg.150 , Pg.151 , Pg.152 , Pg.153 , Pg.154 , Pg.155 ]




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