Neural network system for urban intelligent business planning

A neural network and intelligent technology, applied in the field of neural network systems, can solve problems such as low sustainable development ability and unbalanced urban business planning, and achieve the effect of rich data information

Inactive Publication Date: 2014-10-08
广东承石网络科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] Purpose of the invention: The purpose of the present invention is to provide a neural network system for urban intelligent business planning in order to solve the problems of unbalanced urban commercial planning and low sustainable development capacity

Method used

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Embodiment Construction

[0017] In order to deepen the understanding of the present invention, the present invention will be further described below in conjunction with examples. These examples are only used to explain the present invention, and do not constitute a limitation to the protection scope of the present invention.

[0018] A neural network system for urban intelligent business planning, said system comprising:

[0019] The database unit collects the own attributes of the location of the outlet, and defines some characteristics of the surrounding adjacent attributes, divides the spatial characteristics of the outlet into several scale levels, and establishes data labels;

[0020] The logical classification unit sorts out the logical relationship between the data according to the formed data labels. The logical relationship includes hierarchical relationship, chronological order, and network relationship. The hierarchical relationship is classified into industry categories and sub-categories a...

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Abstract

A neural network system for urban intelligent business planning comprises a database unit, a logic classification unit and a simulation knowledge processing unit. The database unit collects own attributes and adjacent attributes of a place where a network point is located, performs a plurality of feature definitions, divides spatial features of the network point into a plurality of scale levels, and establishes a data tag. Through collecting, sorting and counting of data about business status and kind fluctuation inside large-sized and medium-sized business bodies, irregular social phenomena and enterprise behaviors can be converted into various valuable industry development information, which becomes the most effective and most authentic source of information for national macro management. Therefore, the scale of development of regional business status and kind can be effectively managed, the internal structure can be optimized and the ecological development of the business environment can be realized through category quantity control.

Description

technical field [0001] The invention relates to a neural network system for urban intelligent business planning. Background technique [0002] The shopping center has created a high-level form in which various business forms are interdependent and co-prosperous. Due to the extremely unbalanced regional development, the differences in public construction resources, industrial distribution, population distribution, social consumption, and cultural concepts will cause regional commercial prosperity to be unbalanced. However, a large number of consulting institutions at home and abroad are mostly in the superficial stage of research on comprehensive commercial bodies and industry research, focusing on partial research on "points and circles", staying in the research on the commercial body itself, using data from certain dimensions one-sidedly, and There is a lack of in-depth research on "lines and planes" and related analysis of comprehensive dimensional data. It only summarize...

Claims

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Application Information

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IPC IPC(8): G06N3/02G06Q10/04
Inventor 徐天晟孙军
Owner 广东承石网络科技有限公司
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