基于MATLAB的长春花生物碱含量的分析与预测  

Analysis and prediction of vinca alkaloid content based on MATLAB

作　　者：陈志远 王云耿 赵万里 贺耀钦 穆丽新[1] 刘英 CHEN Zhiyuan;WANG Yungeng;ZHAO Wanli;HE Yaoqin;MU Lixin;LIU Ying(College of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,China)

机构地区：[1]东北林业大学信息与计算机工程学院,哈尔滨150040

出　　处：《智能计算机与应用》2019年第3期190-193,198,共5页Intelligent Computer and Applications

基　　金：黑龙江省教育厅科学技术研究项目(12533021)

摘　　要：长春碱是一种重要的天然抗癌药物。土壤营养成分(土壤含水量,土壤PH,有机碳,全氮,全磷,速效磷,碱解氮),和激素(6-BA(6-苄氨基腺嘌呤),IAA(吲哚-3-乙酸),ABA(脱落酸)),对长春碱含量有重要影响。本文采集了这10个研究条件和长春碱含量的原始数据,并且用MATLAB中的人工神经网络和遗传算法工具箱进行分析。结果显示土壤条件中全磷含量和土壤含水量的降低有利于提高长春碱含量,土壤PH,有机碳,全氮,碱解氮含量的升高有利于提高长春碱含量,土壤中速效磷和长春碱含量的关系不明显。激素中,IAA含量的降低有利于提高长春碱含量,6-BA,ABA含量的升高有利于提高长春碱含量。Vinblastine is an important natural anticancer drug.Soil nutrients (soil water content,soil PH,organic carbon,total nitrogen,total phosphorus,available phosphorus,alkali-hydrolyzed nitrogen),and hormones (6-BA (6-benzylaminoaminoadenine),IAA (indole-3-acetic acid),ABA (abscisic acid)) have important effects on the content of vinblastine.In this paper,the ten conditions and the original data of vinblastine content are collected,and the analysis is carried out by using the artificial neural network and Genetic Algorithm toolbox in MATLAB.The results show that the decrease of total phosphorus content and soil water content is beneficial to the increase of vinblastine content.The increase of soil PH,organic carbon,total nitrogen and alkali-hydrolyzed nitrogen content is beneficial to the increase of vinblastine content.The relationship between available phosphorus and vinblastine content in soil is not obvious.In hormones,the decrease of IAA content is beneficial to the increase of vinblastine content,while the increase of 6-BA and ABA content is beneficial to the increase of vinblastine content.

关 键 词：长春花 土壤条件 激素 长春碱 人工神经网络 遗传算法 

分 类 号：S567.9[农业科学—中草药栽培]