{"title":"基于人工智能的通风装置优化选型与仿真","authors":"P. Toma","doi":"10.2478/ouacsce-2021-0005","DOIUrl":null,"url":null,"abstract":"Abstract In this article we present the way how to create a program in the Scilab-Xcos environment with which it can be dimensioned, mathematically modeled and simulated a ventilation installation using artificial intelligence for its implementation. The mathematical equations implemented in the program with which the dimensioning and simulation are done are presented. A neuro-fuzzy system was used to generate the fan characteristics.","PeriodicalId":345086,"journal":{"name":"Ovidius University Annals of Constanta - Series Civil Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sizing and Simulation for Optimization of a Ventilation Installation Using Artificial Intelligence\",\"authors\":\"P. Toma\",\"doi\":\"10.2478/ouacsce-2021-0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In this article we present the way how to create a program in the Scilab-Xcos environment with which it can be dimensioned, mathematically modeled and simulated a ventilation installation using artificial intelligence for its implementation. The mathematical equations implemented in the program with which the dimensioning and simulation are done are presented. A neuro-fuzzy system was used to generate the fan characteristics.\",\"PeriodicalId\":345086,\"journal\":{\"name\":\"Ovidius University Annals of Constanta - Series Civil Engineering\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ovidius University Annals of Constanta - Series Civil Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/ouacsce-2021-0005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ovidius University Annals of Constanta - Series Civil Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ouacsce-2021-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sizing and Simulation for Optimization of a Ventilation Installation Using Artificial Intelligence
Abstract In this article we present the way how to create a program in the Scilab-Xcos environment with which it can be dimensioned, mathematically modeled and simulated a ventilation installation using artificial intelligence for its implementation. The mathematical equations implemented in the program with which the dimensioning and simulation are done are presented. A neuro-fuzzy system was used to generate the fan characteristics.
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