The invention relates to intelligent systems, i.e., computer models of artificial intuition, and is designed for the objects' model automated creation based not on the properties similarity, but on the response to external actions. The technical result of the invention is a reality model building (consistent and coherent model of the studied object), which is described by the sets of links between the object elements for solving various tasks of information intelligent processing, including approximation and interpolation, recognition and classification of images, data compression, prediction, identification, control, association, and so forth.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method of object model computer creation, comprising the steps of: 1) splitting a referenced object into parts, which are the concepts that have identical data sets describing their characteristics, wherein the concepts are formed on the basis of predetermined rules of ungrouping and, if required, the concepts containing the identical or close property values are reduced; 2) obtaining primary data, which represents all existing pairs of the referenced object parts in the amount of (n*n)/2−n, wherein n represents the number of parts; 3) evaluating and optimizing a number of properties, including those that describe the referenced parts of the object are performed; 4) functionally processing the obtained rows, wherein a standard set of functions is used including correlation or root-mean-square difference or specific functions arising out of task setting logic are applied; 5) sorting and grouping obtained results, wherein the grouped data is verified subject to their redundancy, and then the procedure of grouped data normalisation is executed, during which the redundant data is filtered out; 6) building functional links between the normalised grouped data obtained by different ways applying intellectual processing with the use of an expert system operation; 7) determining data pairs, which when processed by various functions provide a close or predictable result, as linked and subsequently are used for object model building; 8) determining which functions have been applied to analyse the links between the parts of the modelled object, which links between the parts thereof are the strongest, which links are generated by the largest number of functions that differ the most from each other, which concept is the most frequently present in the upper and lower positions of the pairs list sorted by values of various functions, distribution function nature for different concepts, and correlated and non-significant properties are identified; and 9) determining if the obtained model provides a predictable result, then it is deemed as created, if the obtained result does not meet the imposed requirements, then it is deemed preliminary and used to modify the rules of ungrouping, estimation of properties, selection of functions for processing, and filtering criteria, if there is no result, then the number of properties and accuracy of their evaluation are analysed, and specific functions of data pairs processing are replaced with the standard ones. 2. The method of claim 1, wherein an artificial neural network is used at stage 5). 3. The method of claim 2, wherein the rules of data cooperative processing for the expert system and artificial neural network are applied. 4. The method of claim 2, wherein the artificial neural network has an optimised architecture for accumulation of processing results for the purpose of establishing the dependencies and regularities between the distribution of different functions results values at different parameters and fixed data. 5. The method of claim 1, wherein the rules of cleaning, rules of grouping, rules of data cooperative processing for the expert system, rules of norming and rules of analysis are developed with the possibility make an adapted change during the iterative process of the studied object model building. 6. A system of object model computer creation containing at least one or more processors, and at least one memory device, where at least one memory device stores machine-readable instructions, which, if executed by at least one processor, stimulate the processor to execute the method of the object model creation according to claim 1.