搜索：verilog learning - 虫虫下载站

文件格式  熟悉verilog,帮助初学者尽快掌握verilog

熟悉verilog,帮助初学者尽快掌握verilog

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verilog 初学者

VHDL/FPGA/Verilog 《Verilog HDL 语言编程》异步FIFO设计（基于Verilog)

《Verilog HDL 语言编程》异步FIFO设计（基于Verilog)

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人工智能/神经网络  matlab编写的[数据挖掘]分类算法Competitive_learning算法。

matlab编写的[数据挖掘]分类算法Competitive_learning算法。

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Competitive_learning matlab 编写数据挖掘

其他书籍  Learning-GNU-C.pdf 学写gnu c的资料

Learning-GNU-C.pdf 学写gnu c的资料，希望给兄弟们带来帮助！

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Learning-GNU-C gnu

行业发展研究  In this paper, we describe the development of a mobile butterfly-watching learning (BWL) system to

In this paper, we describe the development of a mobile butterfly-watching learning (BWL) system to realize outdoor independent learning for mobile learners. The mobile butterfly-watching learning system was designed in a wireless mobile ad-hoc learning environment. This is first result to provide a ...

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butterfly-watching development describe learning

其他  c++ learning 讲授对于初学者有很大帮助

c++ learning 讲授对于初学者有很大帮助，对于熟悉着可以参考下

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learning 初学者

Java书籍  An entry jsp learning the best books, including basic grammar and javabean / servlect and Informatio

An entry jsp learning the best books, including basic grammar and javabean / servlect and Information Management System Project Development

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Informatio and including javabean

其他行业  Feature selection is a preprocessing technique frequently used in data mining and machine learning t

Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimen ...

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preprocessing frequently selection technique

人工智能/神经网络  Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form

Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...

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meta-learning classifiers combining Boosting

人工智能/神经网络  强化学习算法（R-Learning）难得的珍贵资料

强化学习算法（R-Learning）难得的珍贵资料，在国外找的。分享给大家。

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R-Learning 学习算法

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