PLS算法预测苹果甜度

上传者: shedabo | 上传时间: 2021-06-28 20:07:41 | 文件大小: 1.19MB | 文件类型: ZIP
PLS算法主要用于预测,同样也可以将这一算法用于健康管理领域的预测

文件下载

资源详情

[{"title":"( 27 个子文件 1.19MB ) PLS算法预测苹果甜度","children":[{"title":"PLS算法预测苹果甜度","children":[{"title":"苹果甜度实际测量数据.xls <span style='color:#111;'> 16.00KB </span>","children":null,"spread":false},{"title":"Apple可见光","children":[{"title":"可见光平滑处理","children":[{"title":"y_rand_cal.mat <span style='color:#111;'> 509B </span>","children":null,"spread":false},{"title":"PLSR.m <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"实验结果图.doc <span style='color:#111;'> 72.50KB </span>","children":null,"spread":false},{"title":"x_rand_cal.mat <span style='color:#111;'> 74.31KB </span>","children":null,"spread":false},{"title":"y_rand_val.mat <span style='color:#111;'> 326B </span>","children":null,"spread":false},{"title":"x_rand_val.mat <span style='color:#111;'> 31.94KB </span>","children":null,"spread":false},{"title":"x.m <span style='color:#111;'> 127.38KB </span>","children":null,"spread":false}],"spread":true},{"title":"Apple可见光光谱数据.xls <span style='color:#111;'> 346.50KB </span>","children":null,"spread":false},{"title":"可见光PLSR","children":[{"title":"y_rand_cal.mat <span style='color:#111;'> 329B </span>","children":null,"spread":false},{"title":"PLSR.m <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"实验结果图.doc <span style='color:#111;'> 123.50KB </span>","children":null,"spread":false},{"title":"x.asv <span style='color:#111;'> 127.36KB </span>","children":null,"spread":false},{"title":"x_rand_cal.mat <span style='color:#111;'> 71.75KB </span>","children":null,"spread":false},{"title":"y_rand_val.mat <span style='color:#111;'> 255B </span>","children":null,"spread":false},{"title":"x_rand_val.mat <span style='color:#111;'> 30.97KB </span>","children":null,"spread":false},{"title":"x.m <span style='color:#111;'> 127.36KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Apple近红外光","children":[{"title":"Apple近红外光谱数据.xls <span style='color:#111;'> 579.00KB </span>","children":null,"spread":false},{"title":"近红外PLSR","children":[{"title":"y_rand_cal.mat <span style='color:#111;'> 330B </span>","children":null,"spread":false},{"title":"PLSR.m <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"实验结果图.doc <span style='color:#111;'> 75.50KB </span>","children":null,"spread":false},{"title":"x.asv <span style='color:#111;'> 131.79KB </span>","children":null,"spread":false},{"title":"x_rand_cal.mat <span style='color:#111;'> 71.63KB </span>","children":null,"spread":false},{"title":"y_rand_val.mat <span style='color:#111;'> 261B </span>","children":null,"spread":false},{"title":"PLSR.asv <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"x_rand_val.mat <span style='color:#111;'> 34.25KB </span>","children":null,"spread":false},{"title":"x.m <span style='color:#111;'> 131.79KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明