{"title":"分析回归模型和多层人工神经网络模型,以估算克里米亚松林的锥度和树木体积","authors":"A. Sahin","doi":"10.3832/ifor4449-017","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":13323,"journal":{"name":"Iforest - Biogeosciences and Forestry","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing regression models and multi-layer artificial neural network models for estimating taper and tree volume in Crimean pine forests\",\"authors\":\"A. Sahin\",\"doi\":\"10.3832/ifor4449-017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":13323,\"journal\":{\"name\":\"Iforest - Biogeosciences and Forestry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-02-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iforest - Biogeosciences and Forestry\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.3832/ifor4449-017\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iforest - Biogeosciences and Forestry","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3832/ifor4449-017","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FORESTRY","Score":null,"Total":0}
期刊介绍:
The journal encompasses a broad range of research aspects concerning forest science: forest ecology, biodiversity/genetics and ecophysiology, silviculture, forest inventory and planning, forest protection and monitoring, forest harvesting, landscape ecology, forest history, wood technology.