森林工程2026，Vol.42Issue(3)：530-544,15.DOI:10.7525/j.issn.1006-8023.2026.03.009
基于多策略-交通拥堵优化-支持向量回归算法的重组竹参数及质量的双向预测
Bidirectional Prediction of Process Parameters and Quality Indicators of Reconstituted Bamboo Based on Multi-Strategy Traffic Jam Optimization and Support Vector Regression
摘要
Abstract
In the hot-press molding process of reconstituted bamboo,the coupling of multiple process parameters,reli-ance on empirical parameter adjustment,and high trial-and-error costs make it necessary to establish a quantitative map-ping relationship between process parameters and quality indicators,and further realize reverse prediction of parameters for target performance.To address this issue,a support vector regression(SVR)method optimized by a multi-strategy(MS)traffic jam optimization(TJO)algorithm,namely MS-TJO-SVR,is proposed to develop a bidirectional prediction model for the process parameters and quality indicators of reconstituted bamboo.In the forward prediction,density,moisture content,adhesive content,and pressure holding time are used as input process parameters,while modulus of rupture,horizontal shear strength,water absorption width swelling rate,and water absorption thickness swelling rate are used as output quality indicators.In the reverse prediction,the quality indicators are used as inputs to predict the corre-sponding process parameters.By jointly optimizing the key hyperparameters of SVR,MS-TJO enhances the model's abil-ity to characterize nonlinear relationships and improves prediction stability.The results indicate that MS-TJO-SVR achieves high fitting accuracy and low prediction error in both forward and reverse prediction tasks,and outperforms tra-ditional SVR and other optimized SVR methods in overall performance.This study provides an effective modeling tool and methodological reference for process parameter optimization and quality prediction in the hot-press molding of recon-stituted bamboo.关键词
重组竹/工艺参数/双向预测/质量指标/支持向量回归/参数优化/多策略优化/交通拥堵优化算法Key words
Reconstituted bamboo/process parameters/bidirectional prediction/quality indicators/support vector re-gression/parameter optimization/multi-strategy optimization/traffic jam optimization algorithm分类
轻工纺织引用本文复制引用
张佳薇,刘志浩,刘吉宇,丁禹程..基于多策略-交通拥堵优化-支持向量回归算法的重组竹参数及质量的双向预测[J].森林工程,2026,42(3):530-544,15.基金项目
国家竹产业研究院委托研发项目(2025YJY07). （2025YJY07）
