搜索:State Machine

找到约 764 项符合「State Machine」的查询结果

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https://www.eeworm.com/dl/952002.html 技术资料

74LS251.pdf

英文描述: 3-STATE 1-of-8 Line Data Selector/Multiplexer 中文描述: 三态- 1 - 8线数据选择器/复用器
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https://www.eeworm.com/dl/952073.html 技术资料

74LS363.pdf

英文描述: OCTAL TRANSPARENT LATCH WITH 3 - STATE OUTPUTS PRODUCT SPECIFICATION 中文描述: 八路透明锁存器,3 -态输出产品规格
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https://www.eeworm.com/dl/952115.html 技术资料

SN74LS540.pdf

英文描述: OCTAL BUFFERS AND LINE DRIVERS WITH 3-STATE OUTPUTS 中文描述: 八路缓冲器和线路驱动器,三态输出
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https://www.eeworm.com/dl/510613.html 图形图像

SVM(matlab)多分类

支持向量机(SVM)实现的分类算法源码[matlab] -Support Vector Machine  (SVM), a classification algorithm source code [Matlab]
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https://www.eeworm.com/dl/665/324206.html matlab例程

Upper gain margin Intended for a senior-level course on the analysis and design of digital control

Upper gain margin Intended for a senior-level course on the analysis and design of digital control systems, the text is also useful for graduate students and practicing engineers who are learning state-space design techniques.
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https://www.eeworm.com/dl/952169.html 技术资料

SN74LS690.pdf

英文描述: SYNCHRONOUS COUNTERS WITH OUTPUT REGISTERS AND MULTIPLEXED 3-STATE OUTPUTS 中文描述: 与同步计数器输出寄存器和多路三态输出
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https://www.eeworm.com/dl/952170.html 技术资料

SN74LS692.pdf

英文描述: SYNCHRONOUS COUNTERS WITH OUTPUT REGISTERS AND MULTIPLEXED 3-STATE OUTPUTS 中文描述: 与同步计数器输出寄存器和多路三态输出
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https://www.eeworm.com/dl/650/195556.html 人工智能/神经网络

a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classif

a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.
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https://www.eeworm.com/dl/542/469568.html 其他书籍

介绍回归问题中高斯过程的应用

介绍回归问题中高斯过程的应用,C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning,
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https://www.eeworm.com/dl/938437.html 技术资料

机器学习应用与趋势研究手册算法,方法与技术

·[机器学习应用与趋势研究手册算法,方法与技术].Handbook.Of.Research.On.Machine.Learning.Applications.and.Trends.Algorithms,.Methods.and.Techniques.(2.Volumes)
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