{"title":"模糊数 揭开神经网络功能的神秘面纱","authors":"","doi":"10.33140/oajast.02.01.03","DOIUrl":null,"url":null,"abstract":"This research delves into the synergy between fuzzy numbers and neural networks, presenting a novel perspective on interpreting neural network functionality. Fuzzy numbers offer a flexible framework to capture uncertainties and imprecisions, enriching the interpretability of neural network outputs. By integrating fuzzy number theory into the analysis, our study seeks to enhance the transparency and reliability of neural network models, contributing to a more nuanced understanding of their inner","PeriodicalId":496625,"journal":{"name":"Open Access Journal of Applied Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy Numbers Unraveling the Intricacies of Neural Network Functionality\",\"authors\":\"\",\"doi\":\"10.33140/oajast.02.01.03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research delves into the synergy between fuzzy numbers and neural networks, presenting a novel perspective on interpreting neural network functionality. Fuzzy numbers offer a flexible framework to capture uncertainties and imprecisions, enriching the interpretability of neural network outputs. By integrating fuzzy number theory into the analysis, our study seeks to enhance the transparency and reliability of neural network models, contributing to a more nuanced understanding of their inner\",\"PeriodicalId\":496625,\"journal\":{\"name\":\"Open Access Journal of Applied Science and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Access Journal of Applied Science and Technology\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.33140/oajast.02.01.03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Access Journal of Applied Science and Technology","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.33140/oajast.02.01.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy Numbers Unraveling the Intricacies of Neural Network Functionality
This research delves into the synergy between fuzzy numbers and neural networks, presenting a novel perspective on interpreting neural network functionality. Fuzzy numbers offer a flexible framework to capture uncertainties and imprecisions, enriching the interpretability of neural network outputs. By integrating fuzzy number theory into the analysis, our study seeks to enhance the transparency and reliability of neural network models, contributing to a more nuanced understanding of their inner