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页数:6页
时间:2019-07-04
《SPSS软件在选矿建模中的应用》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、SPSS软件在选矿建模中的应用摘 要:SPSS是目前全球最为流行的统计软件之一,因其操作简单方便、运算准确、统计功能强大等特点被广泛地应用在各个领域。选矿建模过程中因为许多选矿过程相当复杂,影响因素很多,很难从理论上建立符合实际情况的数学模型。本文主要介绍描述性分析、相关分析和回归分析用于选矿建模,可进一步弥补在建立选矿模型中的不足之处,提高选矿建模的质量。关键词:SPSS软件;描述性分析;相关分析;回归分析;结果分析.一.问题提出选矿建模过程中因为许多选矿过程相当复杂,影响因素很多,很难从理论上建立符合实际情况的数学模型。在建立模型前,
2、必须先收集生产统计数据,本文所采用的原始数据是来自于云南某铜选厂磨矿车间2001年阶段性报表生产数据。表1为预处理过后的数据。表1原矿处理量(吨/天)原矿品位(%)磨矿细度(200目%)回收率(%)精矿品位(%)0.4616280.3478260.4575850.4025950.3129030.6321710.3652170.2000000.2978040.4127790.5856590.2318840.4047840.3796410.4586850.5081410.4405800.4911320.3317370.396650.57790
3、70.6028990.6025670.6085290.4977670.6379840.7000000.6154030.7000000.5132750.5003870.2971010.4225790.5942120.2000000.5372090.6173910.6419490.6276210.5090430.5546510.5072460.5448070.5544870.4647870.4984490.3942000.6772460.562070.4669540.5449610.4855070.4861730.5260050.447963
4、0.2949610.3028990.5077600.4697770.4120310.6031010.3434780.7000000.5524170.4604090.5682170.3971010.5497670.5177020.4414620.4170540.5275360.5351810.5581620.4672980.2000000.5057970.5512250.5562650.4657820.4906970.4869570.5701870.5564220.4655060.5527130.6362320.4765460.508383
5、0.7000000.4422480.4579710.5246790.5300760.4497710.4616280.4652170.5742710.5502660.4615390.7000000.4434780.4289660.490940.4269530.5527130.4724640.5305130.5372250.4541700.5914730.3275360.4246210.4488030.4004330.6089140.3420290.5398480.4948960.4272570.5682170.4492750.6072350
6、.5564220.4647730.5585270.4376810.6031510.5509100.4613730.5507750.5724640.5013420.5618400.470290.5003870.2231880.4266630.2000000.4959060.5643410.3318840.6075260.5154390.4388890.5333330.2971010.5334310.4768870.4160130.5624030.2768120.6865810.5243070.4429250.6321700.3463770.
7、5891480.5139690.4383250.5972860.4115920.5109680.5089620.4367100.5449610.2391300.4094520.4124600.3777850.5217050.5231880.4456240.5247580.4479770.5158910.6231880.3858230.5384690.4578180.4616280.3478260.4575850.4676390.4116740.5720930.2000000.361610.3817330.359330.6321710.36
8、52170.2000000.3820260.3627130.6457360.3362320.3484830.4247410.3867460.6263570.2710140.4523340.43
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