{"title":"利用杨-约翰逊变换和珊瑚礁优化增强的多层感知器神经网络预测粘土的摩擦角","authors":"Libing Yang, T. Nguyen-Thoi, Trung-Tin Tran","doi":"10.1016/j.jrmge.2024.02.025","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54219,"journal":{"name":"Journal of Rock Mechanics and Geotechnical Engineering","volume":null,"pages":null},"PeriodicalIF":9.4000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting the friction angle of clays using a multi-layer perceptron neural network enhanced by Yeo-Johnson transformation and coral reefs optimization\",\"authors\":\"Libing Yang, T. Nguyen-Thoi, Trung-Tin Tran\",\"doi\":\"10.1016/j.jrmge.2024.02.025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":54219,\"journal\":{\"name\":\"Journal of Rock Mechanics and Geotechnical Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Rock Mechanics and Geotechnical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jrmge.2024.02.025\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Rock Mechanics and Geotechnical Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.jrmge.2024.02.025","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
Predicting the friction angle of clays using a multi-layer perceptron neural network enhanced by Yeo-Johnson transformation and coral reefs optimization
期刊介绍:
The Journal of Rock Mechanics and Geotechnical Engineering (JRMGE), overseen by the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, is dedicated to the latest advancements in rock mechanics and geotechnical engineering. It serves as a platform for global scholars to stay updated on developments in various related fields including soil mechanics, foundation engineering, civil engineering, mining engineering, hydraulic engineering, petroleum engineering, and engineering geology. With a focus on fostering international academic exchange, JRMGE acts as a conduit between theoretical advancements and practical applications. Topics covered include new theories, technologies, methods, experiences, in-situ and laboratory tests, developments, case studies, and timely reviews within the realm of rock mechanics and geotechnical engineering.