基于支持向量机的心理障碍特征自动测试系统研究

Research on support vector machine based automatic testing system for psychological disorder feature

在心理障碍特征自动测试中,需要建立心理障碍特征自动测试系统,提高心理障碍特征自动测试的信息管理和数据分析能力,提出一种基于支持向量机的心理障碍特征自动测试系统。在心理障碍特征自动测试中,建立心理障碍特征自动测试的大数据信息采样和分析模型,提高心理障碍特征自动测试的信息管理和数据分析能力,构建基于大数据分析技术的心理障碍特征自动测试系统开发技术。系统开发分为心理障碍特征自动测试信息特征提取和特征分类算法设计模块,结合心理障碍特征自动测试系统的软件开发设计,进行系统优化设计。采用大数据融合和特征聚类方法进行心理障碍特征自动测试中的智能信息特征提取算法设计,构建心理障碍特征自动测试的大数据特征信息流,采用支持向量机学习算法进行心理障碍特征分类识别,根据特征分类结果实现心理障碍特征自动测试系统优化设计。测试结果表明,采用该系统进行心理障碍特征分析和测试的准确性较好,系统稳定性较高。

In the automatic testing of psychological disorders,it is necessary to set up an automatic testing system for psychological disorders,so as to improve the ability of information management and data analysis in the automatic testing of psychological disorders.This paper presents an automatic testing system for psychological disorders based on support vector machine(SVM).In the automatic testing of psychological disorders,it is necessary to set up an automatic testing system for psychological disorders,so as to improve the ability of information management and data analysis in the automatic testing of psychological disorders.This paper puts forward the development technology of automatic testing system for psychological obstacle characteristics based on big data analysis technology.The development of the system is divided into two modules:feature extraction and feature classification algorithm design module.Combined with the software development and design of the automatic testing system of psychological obstacle features,the system optimization design is carried out.Big data fusion and feature clustering methods are used to design the intelligent information feature extraction algorithm in the automatic testing of psychological disorder features,and then build the big data feature information flow of psychological obstacle feature automatic test.The support vector machine(SVM)learning algorithm is used to classify and recognize the characteristics of psychological disorders,and according to the results of feature classification,the optimal design of the automatic testing system for psychological disorders is realized.The test results show that the system has good accuracy and stability.