Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Classifier construction

Mapping Linguistic Form to Spatial Form Classifier Constructions... [Pg.147]

Description of layout using spatialized classifier constructions... [Pg.150]

These few examples illustrate how the movements of the hands within classifier constructions can be schematized to represent the actual motion of objects, perceived motion, or abstract metaphorical motion. [Pg.150]

If a signer were to translate the English text into ASL using classifier constructions, he or she would have to be explicit about the spatial layout,... [Pg.153]

Additional application of chemical knowledge to the selection of features or to the classifier construction has improved the classification results C1933. A comparison between pattern recognition methods and a sophisticated interpretative library search system for mass spectra ( STIRS C39, 4221) has indicated some superiority of the STIRS-system C172, 202, 3321. A decision tree pattern recognition was recommended by Neisel et. al. C2051 as a supplement to library search. [Pg.154]

M. Hintz-Madsen, L. K. Hansen, J. Larsen, M. W. Pedersen, and M. Larsen, Neural Networks, 11,1659 (1998). Neural Classifier Construction Using Regularization, Pruning and Test Erron... [Pg.140]

Platforms are generally classified by their mechanical construction. There are four main types ... [Pg.264]

Availability of a representative set of data examples. Such a set may significantly simplify construction of any automatic interpretation system. The example data is usually obtained from calibration pieces, however, they usually represent only the most common defects and are usually expensive to manufacture. Recently more and more data is stored as digital inspection records, unfortunately the stored data is rarely fully classified, as this would increase the cost of inspection (usually only the serious defects are given full description in the reports). [Pg.98]

Neural network classifiers. The neural network or other statistical classifiers impose strong requirements on the data and the inspection, however, when these are fulfilled then good fully automatic classification systems can be developed within a short period of time. This is for example the case if the inspection is a part of a manufacturing process, where the inspected pieces and the possible defect mechanisms are well known and the whole NDT inspection is done in repeatable conditions. In such cases it is possible to collect (or manufacture) as set of defect pieces, which can be used to obtain a training set. There are some commercially available tools (like ICEPAK [Chan, et al., 1988]) which can construct classifiers without any a-priori information, based only on the training sets of data. One has, however, always to remember about the limitations of this technique, otherwise serious misclassifications may go unnoticed. [Pg.100]

Case-based reasoning. The main advantage of CBR systems for NDT data interpretation is that they can cope with data coming from inspection of varying constructions under varying conditions with various system settings due to their ability to learn from the data classified by the operator. In such situations no reliahle statistical classifier can be designed, and the rule-hased classifiers would be either very inefficient or unpractically complex. [Pg.101]

When implementing CBR systems one has to able to define and implement the methods to distinguish between data from different classes. This is a more difficult problem than when constructing a simple data classifier, as the important parameters cannot be simply determined based on a set of examples. One has to have some a-priori knowledge about the important features that distinguish various data classes, as well as anticipate possible data forms that can be encountered during future inspections. This may necessitate the use of more features to describe the problem than a comparable classifier would use. When determining the data... [Pg.101]

The wave function for the elechonic structure can in principle be any of the constructions employed in electronic structure theoiy. The prefened choice in this context is a wave funchons that can be classified as single and multi-configurational, and for the latter type only complete active space (CAS) wave... [Pg.230]

Hendrickson (14,15] concentrated mainly on C-C bond-forming reactions because the construction of the carbon atom skeleton is the major task in the synthesis of complex organic compounds. Each carbon atom is classified according to which kind of atoms are bonded to it and what kind of bonds ([Pg.184]

On this basis Hendrickson classified organic reactions. A distinction is made between refiinctionalization reactions and skeletal alteration reactions. Refiinctiona-lizations in almost all cases have no more than four carbon atoms in the reaction center. Construction or fragmentation reactions have no more than three carbon atoms in each joining or cleaving part of the molecule. Thus, these parts are treated... [Pg.184]

Contactive (Direct) Heat Transfer Contactive heat-transfer equipment is so constructed that the particulate burden in solid phase is directly exposed to and permeated by the heating or cooling medium (Sec. 20). The carrier may either heat or cool the solids. A large amount of the industrial heat processing of sohds is effected by this mechanism. Physically, these can be classified into packed beds and various degrees of agitated beds from dilute to dense fluidized beds. [Pg.1058]

The body-centered-cuhic (bcc) metals and alloys are normally classified as undesirable for low temperature construction. This class includes Fe, the martensitic steels (low carbon and the 400-series stainless steels). Mo, and Nb. If not brittle at room temperature, these materials exhibit a ductile-to-brittle transition at low temperatures. Cold working of some steels, in particular, can induce the austenite-to-martensite transition. [Pg.1127]

Equipment Classification Equipment can be broadly classified into the following categories, generally in order of increasing complexity of internal construction. Those most generally used are ... [Pg.1474]

Demolition and construction wastes. Wastes from razed building and other structures are classified as demolition wastes. Wastes from the construction, remodeling, and repair of commercial and industrial buildings and other similar structures are classified as construction wastes. These wastes may include dirt, stones, concrete, bricks, plaster, lumber, shingles, and plumbing, heating, and electrical parts. [Pg.2232]

In a fixed construction, all the feeders in the switchboard, feeding the various load points, are securely mounted in the assembly and rigidly connected to the main bus. In the event of a fault in one feeder on the bus side, a shutdown of the entire switchboard may be required. A process industry or critical loads can ill afford such an arrangement. However, since this is the most cost-effective switchboard, it is also the most common type and is used extensively. It also suits all applications, except a process industry or critical loads, which may not be able to afford a total shutdown or prolonged downtime in the event of a fault. In such cases a draw-out type switchboard will prove to be a better choice as discussed below. A fixed-type construction may further be classified as follows. [Pg.340]

The cyclobutene-butadiene interconversion can serve as an example of the reasoning employed in construction of an orbital correlation diagram. For this reaction, the four n orbitals of butadiene are converted smoothly into the two n and two a orbitals of the ground state of cyclobutene. The analysis is done as shown in Fig. 11.3. The n orbitals of butadiene are ip2, 3, and ij/. For cyclobutene, the four orbitals are a, iz, a, and n. Each of the orbitals is classified with respect to the symmetiy elements that are maintained in the course of the transformation. The relevant symmetry features depend on the structure of the reacting system. The most common elements of symmetiy to be considered are planes of symmetiy and rotation axes. An orbital is classified as symmetric (5) if it is unchanged by reflection in a plane of symmetiy or by rotation about an axis of symmetiy. If the orbital changes sign (phase) at each lobe as a result of the symmetry operation, it is called antisymmetric (A). Proper MOs must be either symmetric or antisymmetric. If an orbital is not sufficiently symmetric to be either S or A, it must be adapted by eombination with other orbitals to meet this requirement. [Pg.609]

An orbital correlation diagram can be constructed by examining the symmetry of the reactant and product orbitals with respect to this plane. The orbitals are classified by symmetry with respect to this plane in Fig. 11.9. For the reactants ethylene and butadiene, the classifications are the same as for the consideration of electrocyclic reactions on p. 610. An additional feature must be taken into account in the case of cyclohexene. The cyclohexene orbitals tr, t72. < i> and are called symmetry-adapted orbitals. We might be inclined to think of the a and a orbitals as localized between specific pairs of carbon... [Pg.639]

It is also common practice to classify filter media by their materials of construction. Examples are cotton, wool, linen, glass fiber, porosmooth surface caused by carrying the warp (or the weft) on the fabric surface over many weft (or warp) yarns. Intersections between warp and weft are kept to a minimum, just sufficient to hold the fabric firmly together and still provide a smooth fabric surface. The percentage of open area in a textile filter indicates the proportion of total fabric area that is open, and can be determined by the following relationship ... [Pg.124]


See other pages where Classifier construction is mentioned: [Pg.149]    [Pg.151]    [Pg.153]    [Pg.154]    [Pg.156]    [Pg.172]    [Pg.122]    [Pg.149]    [Pg.151]    [Pg.153]    [Pg.154]    [Pg.156]    [Pg.172]    [Pg.122]    [Pg.100]    [Pg.100]    [Pg.329]    [Pg.555]    [Pg.557]    [Pg.721]    [Pg.35]    [Pg.72]    [Pg.179]    [Pg.1780]    [Pg.1780]    [Pg.1781]    [Pg.32]    [Pg.187]    [Pg.134]    [Pg.121]    [Pg.462]    [Pg.417]    [Pg.356]    [Pg.522]   
See also in sourсe #XX -- [ Pg.17 , Pg.138 , Pg.147 , Pg.148 , Pg.149 , Pg.150 , Pg.153 , Pg.154 , Pg.156 , Pg.172 ]




SEARCH



Classified

Classifier

Classifying

© 2024 chempedia.info