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一、分类: 1 预测分类标号(或离散值) 2 根据训练数据集和类标号属性,构建模型来分类现有数据,并用来分类新数据
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一、概述 食品中的有毒成分主要来源于以下几个方面(1)食品中天然存在的毒素,如苦杏仁中 的氰化物;(2)食品中生物污染的毒素,如黄曲霉毒素;(3)食品中化学污染的毒素,如重 金属等;(4)食品加工过程中形成的毒素,如赖丙氨酸等
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一、填空题 1、冰的导热系数在0℃时近似为同温度下水的导热系数的4倍,冰的热扩 散系数约为水的5倍,说明在同一环境中,冰比水能更快的改变自身的温度。水 和冰的导热系数和热扩散系数上较大的差异,就导致了在相同温度下组织材料冻 结的速度比解冻的速度快。 2、一般的食物在冻结后解冻往往有大量的汁液流出,其主要原因是冻结后 冰的体积比相同质量的水的体积增大9%,因而破坏了组织结构
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一、单项选择题(本大题共16小题,每小题2分,共32分) 在每小题列出的四个备选项中只有一个是符合题目要求的,请将其代码填写在题后的括号内。错选、多选或未选均无分。 1.要得到P型杂质半导体,在本征半导体硅或锗的晶体中,应掺入少量的() A.三价元素 B.四价元素 C.五价元素 D.六价元素
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一、单项选择题(本大题共15小题,每小题2分,共30分) 在每小题列出的四个备选项中只有一个是符合题目要求的,请将其代码填写在题后的括号内。错选、多选或未选均无分。 1.在杂质半导体中,多数载流子的浓度取决于() A.本征半导体 B.温度 C.杂质浓度 D.掺杂工艺
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Department of Electrical Engineering and Computer Science 6.003: Signals and Systems-Fall 2003 Thursday, November 13. 2003 Directions: The exam consists of 5 problems on pages 2 to 19 and additional work space on pages 20 and 21. Please make sure you have all the pages. Tables of Fourier series properties as well as CT Fourier transform and DT Fourier transform properties and pairs are supplied to you as a separate set of pages. Enter all your work and
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Department of Electrical Engineering and Computer Science 6.003: Signals and Systems -Fal 2003 Final Exam Tuesday, December 16, 2003 Directions: The exam consists of 7 problems on pages 2 to 33 and additional work space on pages 34 to 37. Please make sure you have all the pages. Tables of Fourier serie properties, CT and dT Fourier transform properties and pairs, Laplace transform
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Directions: The exam consists of 5 problems on pages 2 to 19 and work space on pages 20 and 21. Please make sure you have all the pages. Tables of Fourier series properties are supplied to you at the end of this booklet. Enter all your work and you answers directly in the spaces provided on the printed pages of this booklet
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Reading Assignments Lectures #5-6& PS#2: Chapter 3 of Oppenheim and Willsky(O& w) Lectures #3-4 &z PS#3: Chapters 3&4 of Oppenheim and Willsky(O&w) Exercise for home study (not to be turned in, although we will provide solutions)
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Fouriers derivation of the ct fourier transform x(t)-an aperiodic signal view it as the limit of a periodic signal as t→∞ For a periodic signal the harmonic components are spaced Oo=2π/ T apart. AsT→∞,Obo→>0, and harmonic components are space
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