Mode identification method based on immune antibody network

An immune antibody and pattern recognition technology, applied in the field of recognition, can solve the problems of manual setting of parameters and thresholds, complex algorithms, etc., and achieve the effect of simple calculation and high correct recognition rate.

Inactive Publication Date: 2010-02-24
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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AI Technical Summary

Problems solved by technology

However, most of the current artificial immune algorithms have problems such as complex algorithms, manual setting of parameters and thresholds, and the need for constant adjustments.

Method used

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  • Mode identification method based on immune antibody network

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Embodiment 1

[0094] Embodiment 1. English letter recognition on the international standard data test set (Letter Recognition). The LetterRecognition dataset contains a total of 20,000 sample records, which record the digitized data of 20,000 original scanned images of 20 fonts and 26 uppercase English letters. Each record contains the category attribute of the letter and its 16-dimensional vector feature. Data (its value range is 0 to 15), and there are about 750 records for each letter in the data set.

[0095] During the experiment, according to the order in which each record appears in the Letter Recognition dataset, the first 700 records of each letter were extracted as the experimental dataset. The experimental data set is divided into two parts: training sample data and test sample data. The training sample data is composed of the first 630 records of various letters in the experimental data set (according to their order), which contains a total of 16380 records; the rest of the exp...

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Abstract

The invention relates to a mode identification method based on an immune antibody network, which is used for mode identification. The technical scheme of the invention comprises the following steps: generating an original antibody in the immune antibody network by extracting all classes of training samples with a certain number stochastically and completing the initialization of the immune antibody network; taking all the training samples as an input antigen, training the immune antibody network according to an antibody formation algorithm and extracting the mode characteristics of all classesof training samples effectively; and training the immune antibody network repeatedly, stopping training when the continuous training results of two times are accordant, preserving the obtained immuneantibody network and carrying out the mode identification. The invention has simple and convenient calculation and very high correct identification rate without manually setting parameters and thresholds and is suitable for the computer application fields of character identification, fault diagnosis and the like.

Description

technical field [0001] The invention relates to a method capable of quickly and accurately classifying things or recognizing patterns, and belongs to the field of recognition technology. Background technique [0002] Pattern recognition has received extensive attention in many fields of science and technology, which has promoted the development of artificial intelligence systems and expanded the possibility of computer applications. Generally, the specific temporal and spatial distribution information obtained by observing specific individual things is called a pattern, and the category to which a pattern belongs or the overall pattern of the same kind is called a pattern class. [0003] The artificial immune system is a computational paradigm inspired by theoretical biology, which draws on some functions, principles and models of the immune system to solve complex problems. The artificial immune system has been researched and applied in many aspects such as information sec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/00
Inventor 李中苑津莎
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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