Description: CPN能提供强大的分类功能.介绍CPN(Counter Propagation Networks)神经网络的结构、训练及计算的基础上,详细讨论了CPN在离散事件动态系统(DEDS)仿真、仿真优化等方面的应用。
-CPN can provide powerful classification. Introduction CPN (Counter Propagation Networks) neural network structure, training and calculated on the basis of a detailed discussion of the CPN in Discrete Event Dynamic System (DEDS) simulation, simulation optimization applications. Platform: |
Size: 4096 |
Author:军军 |
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Description: 1. Access the relevant reference books or technical data books and give accurate definitions for the following timing parameters:
(1) propagation time tPD,
(2) transition time tTD,
(3) setup time tSU,
(4) hold time tHD, and
(5) clock-to-output time tCO.
2. Compare the main features of 74-393 and 74-163 counters and construct an N-bit synchronous counter using 74-163(s).
3. Macrocells (MCs) are key components of Programmable Logic Device (PLD). Based on the MC logic schematic diagram below, please describe its functions.
Platform: |
Size: 172032 |
Author:魏攸 |
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Description: 非常好的神经网络学习代码，本程序实现了前馈反向传播-This program implements the feed-forward counter propagation
network and was done in part for a textbook on The Pattern Recognition Basis of AI_
published by IEEE Computer Society Press Platform: |
Size: 81920 |
Author:yinxirong |
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Search - counter propagation