When analysing the criteria measuring the volume of oil deposits with wide gaps in configuration of reservoir parameters and physicochemical properties of fluid, it is necessary to group and characterize objects under study. Classification makes it possible to adjust conformity and distinctive features of deposits, and explain research theories. The analysis of information according to the subjects determined by the parameters measured or evaluated is difficult to carry out. It requires a lot of time and effort. Therefore, it is necessary to reduce the data volume, compress initial information to the smallest number of characteristics. Parameters can be selected from initial data or calculated and modified (i.e. minimum loss of data on the objects under study). The effective analysis tool capable of identifying the problems is the principal component analysis (PCA) which is a method for reducing the data volume. The principal component can be found in almost every text using the multivariate analysis.
The paper studies the problem of determining the lower boundary of number correction speed in computing systems operating in the basis of non-positional arithmetic of residual classes. The topicality of the problem is necessitated by the search of methods allowing reducing the time for digital processing of signals in non-positional neuroprocessors. The study considers several variants of error correction with a single and multiple control bases of the residue system. The calculations were performed that allowed determining the time necessary for zeroing operation. The method of paired zeroing of numbers in a system of residual classes was modified. It was demonstrated that the suggested solutions allow appreciably reducing the time consumption by digital processing of signals in neuroprocessors destined for operations of summation and multiplication.
The paper studies the problem of developing a high-speed number correction device in computing systems operating in the basis of non-positional arithmetic in residual classes. The topicality of the problem is necessitated by the search of solutions allowing reducing the time for digital processing of signals in non-positional neuroprocessors. The device allows correcting errors with single and multiple control bases of the residue system. The work presents the structure of the unit that realizes the paired zeroing on numbers in the system of residual classes. It was demonstrated that the suggested solutions allow appreciably reducing the time consumption by digital processing of signals in neuroprocessors destined for operations of summation and multiplication.
The paper studies the problem of determining the lower boundary of number correction speed in computing systems operating in the basis of non-positional arithmetic in residual classes. The topicality of the problem is necessitated by the search of methods allowing reducing the time for digital processing of signals in non-positional neuroprocessors. The work considers the variants for error correction with single and multiple control bases of the residue system. The proof is provided that allows justifying the adequacy of the modified method that implements paired zeroing of numbers in the system of residual classes. It was shown that the suggested solutions allow considerably reducing the time expenses for digital processing of signals in neuroprocessors specialized in summation and multiplication operations. The proof is elaborated by the method of mathematical induction.
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