{"title":"The artificial neural network for estimating of bamboo shoot's weight for the bamboo shoot sizing process","authors":"Supachoke Saengswarng","doi":"10.1109/ICITM.2018.8333978","DOIUrl":null,"url":null,"abstract":"The artificial neural network (ANN) models were used for estimating the weight of bamboo shoot by measuring its mean diameter length and height for sizing process. The optimal model consisted of one hidden layer, with sixteen neurons in hidden layer, and 2 inputs, mean diameter and height, was able to produce weight of bamboo shoot values with the R2 value of curve between the values which predicted by optimal ANN and the actual values was 0.8204 which was proposed by S. Saengswarng compared to another 4 different models, ANN 1 input (mean diameter) ANN 2 inputs (mean diameter and length) ANN 3 inputs (mean diameter height and length) and Calculating from solid cone volume.","PeriodicalId":341512,"journal":{"name":"2018 7th International Conference on Industrial Technology and Management (ICITM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Conference on Industrial Technology and Management (ICITM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITM.2018.8333978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The artificial neural network (ANN) models were used for estimating the weight of bamboo shoot by measuring its mean diameter length and height for sizing process. The optimal model consisted of one hidden layer, with sixteen neurons in hidden layer, and 2 inputs, mean diameter and height, was able to produce weight of bamboo shoot values with the R2 value of curve between the values which predicted by optimal ANN and the actual values was 0.8204 which was proposed by S. Saengswarng compared to another 4 different models, ANN 1 input (mean diameter) ANN 2 inputs (mean diameter and length) ANN 3 inputs (mean diameter height and length) and Calculating from solid cone volume.