Academic Journal of Computing & Information Science最新文献_第3页

Insurance Fraud Detection Based on XGBoost 基于XGBoost的保险欺诈检测

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060808

引用次数: 0

Revision of the LeNet algorithm——Construction of LeNet deformation algorithm based on multi-conditional hyperparameter adjustment LeNet算法的修正——基于多条件超参数调整的LeNet变形算法的构建

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060803

{"title":"Revision of the LeNet algorithm——Construction of LeNet deformation algorithm based on multi-conditional hyperparameter adjustment","authors":"","doi":"10.25236/ajcis.2023.060803","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060803","url":null,"abstract":"This paper explores two main issues. First, this paper explores the optimal hyperparameters of the LeNet algorithm under the Fashion-MNIST dataset based on the grid method: where when the learning rate is 0.032, the regularization coefficient is 0.03, the momentum is 0.9, the weight decay parameter is 0.001, and the number of iterative rounds is 50, the model has the best results under the Fashion-MNIST dataset of 10% uniformly sampled samples has the relatively best results, i.e., the test accuracy converges to 85.8%. In addition, this paper improves the LeNet algorithm by constructing a LeNet deformation algorithm based on multi-conditional hyperparameter adjustment, specifically, the learning rate, momentum, and regularization coefficients change with the increase of the number of iteration rounds; in addition, in the construction of the model, the model introduces two blocks containing a convolutional layer, a batch normalization layer (BatchNorm), and a maximum pooling layer, and three linear neuron layers . After tuning, the tested accuracy of the algorithm is 91.5% under the full sample based on the Fashion-MNIST dataset.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135749928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Large Deformation Features Guided Network for Medical Image Registration 医学图像配准大变形特征引导网络

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060915

引用次数: 0

Design and Visualization of Python Web Scraping Based on Third-Party Libraries and Selenium Tools 基于第三方库和Selenium工具的Python Web抓取的设计与可视化

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060904

{"title":"Design and Visualization of Python Web Scraping Based on Third-Party Libraries and Selenium Tools","authors":"","doi":"10.25236/ajcis.2023.060904","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060904","url":null,"abstract":"The aim of this study is to analyze the data from Chinese movie websites to understand the trend distribution of movie genres and ratings. It used Python third-party libraries and the Selenium tool to crawl data from various movie websites and platforms. Douban Films is one of the most prominent applications. In order to realize the data analysis of Douban movies, the crawler program was designed from multiple perspectives, including two data capture channels, keyword search movies and screening search rankings. By viewing the movie details function module, it can achieve the requirements of obtaining movie ratings, stars, online viewing addresses, cloud disk search links and film and television download resources. Visualization of the data results was conducted using the third-party Python graph library Matplotlib. The results showed that the film rating and the total number of ratings are important factors that ordinary users refer to when watching films. Drama films are the most popular type of film among producers and film companies, while adventure films are the type of film that is easily overlooked by viewers. These data analyses can reflect the public's viewing trends under the guidance of consumers.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Construction of AI-Assisted Collaborative Painting-Based Psychological Capital Intervention System 基于ai辅助协同绘画的心理资本干预系统构建

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060806

{"title":"Construction of AI-Assisted Collaborative Painting-Based Psychological Capital Intervention System","authors":"","doi":"10.25236/ajcis.2023.060806","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060806","url":null,"abstract":"In recent years, the field of psychology has delved deeper into the study of psychological capital and explored various intervention methods to enhance individual psychological capital. Against this backdrop, AI-assisted collaborative painting technology has emerged as a captivating research direction, finding applications in the construction of psychological capital intervention systems. This paper aims to explore the development of an AI-assisted collaborative painting-based psychological capital intervention system and investigate its potential implications and applications within the domain of psychology. Initially, the paper introduces and elaborates on the concept of psychological capital and its significant role in psychology. Subsequently, the focus shifts to the issue of inadequate psychological capital in modern society, analyzing its underlying causes and its impact on individual psychological well-being and adaptability. Following that, the paper provides a detailed account of the principles and technical key points involved in constructing an AI-assisted collaborative painting-based psychological capital intervention system. The system will leverage data collection and analysis, real-time emotion recognition technology, and personalized intervention strategies to offer users individualized emotional recognition and intelligent intervention, aiding them in strengthening self-efficacy, fostering optimism, and igniting hope. Consequently, users will be better equipped to confront the challenges posed by modern society.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135750246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Algorithms Feasibility Inquiry Based on Data Mining in Privacy 基于隐私数据挖掘的算法可行性查询

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060805

引用次数: 0

Analysis of Wordle's Data Based on a Stepwise Regression Iterative Prediction Model 基于逐步回归迭代预测模型的世界数据分析

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.061015

引用次数: 0

The application of intelligent algorithms in word discrimination 智能算法在词识别中的应用

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060818

{"title":"The application of intelligent algorithms in word discrimination","authors":"","doi":"10.25236/ajcis.2023.060818","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060818","url":null,"abstract":"Words play a huge role in people's communication and transmission of information. The LSTM model is first established in this paper to analyze the changing trend of the number of people in the time series of the data set. According to the model, the linear regression model was used to process the word characteristic values and put them into the least square model for fitting through linear regression, and the MAPE value was obtained, and the comparative test effect was conducted on the value. At the same time, the F statistic was used to test the significance of the regression equation, and the Prob value was obtained. After the comparison of standard values, word attributes did not affect the percentage of the number of people registered in the difficult mode. The characteristic values of 5 words were divided by analysis and input into LR linear regression, XGB, random forest, GA-BP neural network, and Bayesian classifier models for training. It was found that the XGB determination coefficient of the simulated annealing model was 0.506. Finally, BP neural network learning based on a genetic algorithm is used to predict, and the percentage of correct answers to each word is subject to normal distribution results.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135749038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on material demand analysis of manufacturing industry based on time series model—ARIMA 基于时间序列模型arima的制造业材料需求分析研究

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060816

引用次数: 0

Research on the Dietary Allocation Strategy of College Students Based on the Planning Model 基于规划模型的大学生膳食配置策略研究

Academic Journal of Computing & Information Science Pub Date : 2023-01-01 DOI: 10.25236/ajcis.2023.060813

{"title":"Research on the Dietary Allocation Strategy of College Students Based on the Planning Model","authors":"","doi":"10.25236/ajcis.2023.060813","DOIUrl":"https://doi.org/10.25236/ajcis.2023.060813","url":null,"abstract":"The nutrients to maintain human daily needs are: protein, sugar, fat, minerals, vitamins, food cellulose and water 7 categories, a total of about 40 kinds. And the nutritional element components of each kind of food are different, and the regulating effect of each nutritional element on the physiologic function of the body is also different, so a variety of foods must be matched in proportion, in order to meet the demand of nutritional elements needed by the human body. Reasonable nutrition emphasizes that the nutritional elements in the food supplied to human consumption should be complete, moderate content and appropriate proportion. For this situation, this paper, in contemporary college students, for example, to study the problem of contemporary college students how scientific diet, on the basis of the Chinese residents dietary guidelines, dietary balance principle, lists the daily food, nutrient content, with the best consumption of food and the most economic ratio as the ultimate goal, establish a target model based on linear planning. For this model, using the Matlab, the computational software optimizes the computational module, establishing the optimal objective function. Through reasonable assumption and calculation, the parameters of nonlinear planning are optimized and then the linear planning model is obtained, and a more economical and scientific dietary balanced strategy is put forward.","PeriodicalId":387664,"journal":{"name":"Academic Journal of Computing & Information Science","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135749668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0