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Fuzzy-neural network method for classifying intelligently shape of occupational suits

A technology of fuzzy neural network and clothing, applied in the direction of biological neural network model, etc., can solve the problems affecting the contracting of clothing, classification and size inappropriate, and labor-intensive production, so as to improve work efficiency and quality, save manpower and material resources, and speed up production. The effect of convergence speed

Inactive Publication Date: 2007-04-25
DALIAN MARITIME UNIVERSITY
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AI Technical Summary

Problems solved by technology

The production of sample clothes is labor-intensive, expensive and inconvenient to carry, which makes the production preparation a large investment and a long cycle, which seriously affects the ability of the enterprise to contract clothing
2. High requirements for model filing
Due to the heavy workload and high requirements, this method has not been implemented in actual production
3. The measurement error causes the classification model to be incompatible
Therefore, the traditional classification method of professional clothing cannot meet the clothing requirements of different customer groups, especially now because of the customization of professional clothing, due to the large number of clothing orders and the different shapes of customers, clothing factories often seek advice from experienced tailors. The master comes to "customize" suitable clothes for each customer
This creates duplication of work and is not very effective

Method used

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  • Fuzzy-neural network method for classifying intelligently shape of occupational suits
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  • Fuzzy-neural network method for classifying intelligently shape of occupational suits

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Embodiment Construction

[0058] The specific embodiments of the present invention will be described in detail below in conjunction with the technical solutions and accompanying drawings.

[0059] From more than 6,000 professional clothing data records, 670 records were extracted as the target sample data, and then all the body shape data were divided by 1000 for data preprocessing to ensure that the values ​​of all network input data were between 0 and 1. , get the purified data; use the converted purified data as training sample data; use the unit BP algorithm and the momentum item method to improve the standard BP network for training, if it enters the flat area, call the steepness factor method, after jumping out of the flat area, exit Steepness factor method; if you fall into a local minimum point, call the evolutionary programming method, and exit the steepness factor method after jumping out of the local minimum point; the final error value meets the requirements to stop training, and save the fi...

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Abstract

This invention relates to professional costume size sorting technique field, which uses fuzzy neutral network module to sort the costume size and is characterized by the following: adopting unit BP formula and adding motion item and leading slope factor and evolution plan strategy for improvement and according to different situations for relative strategies and using fuzzy logic and neutral network relation and compensation aiming at costume size data not easy for sorting and leading fuzzy rule to establish fuzzy neutral network for sample training to realize sorting process intelligence.

Description

technical field [0001] The invention belongs to the technical field of size classification of professional clothing, and relates to a method for intelligently classifying the size of professional clothing by using a fuzzy neural network model. Background technique [0002] At present, there are some problems in the field of clothing, which have not been solved well by traditional methods, and have become the main factors restricting the development of clothing enterprises. These problems are mainly manifested in: 1. The cost of sample clothing is high and the cycle is long. At present, the commonly used clothing measuring method in China is still the traditional sample clothing slip-on. In this way, enough sample clothes should be prepared first, and sometimes even several sets of sample clothes should be prepared so that the body measurers can disperse to the clothing units for measurement. The production of sample garments is labor-intensive, expensive in materials, and ...

Claims

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Application Information

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IPC IPC(8): G06N3/02
Inventor 陈燕李桃迎屈莉莉崔劲柏
Owner DALIAN MARITIME UNIVERSITY
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