Computer system for economic management data analysis

Abstract

The invention belongs to the technical field of data analysis, and discloses a computer system for economic management data analysis. The computer system comprises an input module, a genetic algorithmmodule, an output module, a linearization transformation module, a calling module, an economic management database and a modeling prediction module, wherein the input module is connected with the genetic algorithm module and the linearization transformation module; the genetic algorithm module is connected with the output module; the linearization transformation module is connected with the calling module and the modeling prediction module; the calling module is connected with the economic management database. The invention provides a systematic and logical analysis method, by which several factors such as demand, production, cost and market are comprehensively considered and an optimal solution of a multivariate problem is calculated according to a genetic algorithm; logratio transformation and modeling can be also performed according to data in the database, to predict economic management data.

Description

technical field [0001] The invention belongs to the technical field of data search, in particular to a computer system for analyzing data in economic management. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Managerial economics is a branch of applied economics that provides a systematic and logical search for business decisions that focus on the economic forces that affect both day-to-day decisions and long-term planning decisions. The application of microeconomics in management practice is a bridge between economic theory and enterprise management decision-making. It provides search tools and methods for enterprise decision-making and management. Its theory mainly revolves around several factors such as demand, production, cost, and market. Proposed. At present, the computer system for data search is inefficient, insufficient in accuracy, does not use more advanced calculation methods, and it i...

AI Technical Summary

Problems solved by technology

[0008] The current computer system for data search is inefficient, insufficient in accuracy, does not use more advanced calculation methods, and it is difficult to predict the development trend

[0009] In the prior art, the derivation of the Laplace matrix cannot reflect the relationship between pixels in non-neighborhoods; in some areas where the foreground and background components change suddenly, the Laplace matrix is ​​difficult to obtain the desired effect.

[0010] The existing search program is not fast enough

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