Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Fuzzy recognizer and method for similarity intelligent matching

A technology of fuzzy recognition and similarity, applied in the field of fuzzy recognition, can solve the problems of long recognition time and large operation area, and achieve the effect of less time, optimized operation time and operation area, and easy subsequent reprocessing.

Active Publication Date: 2017-09-19
南陵县生态旅游资产运营有限公司
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0016] The technical problem to be solved by the present invention is to provide a fuzzy recognizer and method for intelligent similarity matching in view of the above-mentioned problems of long recognition time and large operation area

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fuzzy recognizer and method for similarity intelligent matching
  • Fuzzy recognizer and method for similarity intelligent matching
  • Fuzzy recognizer and method for similarity intelligent matching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] The comprehensive function of fuzzy identification of the present invention adopts weighted summation function, and its weight selection is 1, and based on this, the present invention provides a kind of fuzzy identification device that is used for similarity intelligent matching, and this membership function generator unit is to each standard pattern Each feature bit of the fuzzy feature is stored, and a feature bit of the pattern to be recognized is matched with it, and the storage, matching, summation, and sorting of the comprehensive membership degree can be combined to optimize the operat...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a fuzzy recognizer and method for similarity intelligent matching. The fuzzy recognizer comprises a comprehensive membership function generator array, a matching degree sorting unit and an address encoder, the comprehensive membership function generator array comprises N rows of membership function generator units for storing N templates, the N is a positive integer, each membership function generator unit comprises a storage unit and a matching unit, the matching degree sorting unit is connected to the address encoder through N signal lines and used for sequentially outputting characteristic level signals toward corresponding signal lines in the matching period according to the size of voltage of matching lines in the comprehensive membership function generator array, and the address encoder is used for outputting corresponding storage address of the signal lines when the characteristic level signals are outputted. Storage, matching, summation and result sorting of comprehensive membership degree are combined together, so that the operating time and the operating area of fuzzy recognition are optimized.

Description

technical field [0001] The present invention relates to the field of fuzzy recognition, in particular to a fuzzy recognizer and method for intelligent similarity matching. Background technique [0002] The concept of fuzzy logic was proposed by L.A.Zadeh in 1965, and its generation is a major breakthrough in the development of computer science to the natural mechanism of the human brain. Fuzzy logic, neural networks, and genetic algorithms are all considered to be key technologies in the age of intelligence. At present, fuzzy logic has been successfully applied to many fields, such as intelligent control and pattern recognition. [0003] The characteristics of objective things often have some fuzziness, therefore, the human brain often performs fuzzy reasoning and fuzzy judgment, which is the physical basis of fuzzy mathematics applied to pattern recognition. The basic principle of fuzzy pattern recognition is the principle of maximum membership degree. In real life, a st...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
Inventor 林谷
Owner 南陵县生态旅游资产运营有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products