Machine learning method applied to configurable BOM

A machine learning and fitting function technology, applied in the field of machine learning, which can solve problems such as rule errors, incomplete matching rules, and lag in rule update.

Inactive Publication Date: 2017-10-20
艾凯克斯(嘉兴)信息科技有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when using this method, the selection rules are often incomplete, the rule update lags behind, and even the rules are wrong.

Method used

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  • Machine learning method applied to configurable BOM

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Embodiment Construction

[0018] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0019] refer to figure 1 ; In an embodiment of the present invention, a machine learning method applied to a configurable BOM specifically includes the following steps:

[0020] A. Obtain the configuration options of the configurable BOM. The biggest feature of the configurable BOM is that it has configuration options (parameters); and different configurable BOMs have different configuration options, and the configuration options in the configurable BOM are used to determine the feature vector in machine learning.

[0021] B. Obta...

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Abstract

The invention relates to a machine learning method applied to a configurable BOM. The method comprises a step A of obtaining configuration options of the configurable BOM; a step B of acquiring currently-designed configurable options and values; a step C of obtaining states of all the matching options in the configurable BOM; a step D of training obtained sample data; a step E of updating fitting functions of the matching options; and a step F of utilizing the updated fitting functions to perform design. By utilization of the method, configuration rules conforming to the currently configurable BOM can be updated continuously by only performing product design based on the configurable BOM, and after the design reaches a certain times, even optimal design rules of the configurable BOM can be found.

Description

technical field [0001] The invention relates to a machine learning method, in particular to a machine learning method applied to a configurable BOM. Background technique [0002] At present, user needs are often highly unpredictable. In this case (mass customization), how to quickly respond to customer needs has become the focus of enterprises. [0003] In order to improve the design efficiency under mass customization, enterprises often adopt the method of building a configurable BOM structure and adding matching rules to the configurable BOM, so as to reduce data redundancy, improve design efficiency, and even automate design the goal of. However, when using this method, the selection rules are often incomplete, the rule update lags behind, and even the rules are wrong. Contents of the invention [0004] The purpose of the present invention is to provide a machine learning method applied to a configurable BOM to solve the problems raised in the above-mentioned backgrou...

Claims

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Application Information

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IPC IPC(8): G06F9/44G06F9/445G06N3/08
CPCG06F8/65G06F8/71G06N3/08
Inventor马佳邓森洋
Owner艾凯克斯(嘉兴)信息科技有限公司