Hardware implementation of intelligent systems

Hardware implementation of intelligent systems
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智能系统的硬件实现

DOI:
10.1007/978-3-7908-1816-1_3
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发表时间:
2001
期刊:
--
影响因子:
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通讯作者:
L. Caponetto
L. Caponetto
中科院分区:
--
文献类型:
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作者:
M. Russo;L. Caponetto

文献摘要

被引文献

相似文献

神经计算、模糊逻辑和进化计算在广泛的应用领域中得到了广泛的应用。虽然许多领域充分利用了传统的冯·诺依曼处理器,但仍有一些类别,例如高能物理中的智能系统,需要完全硬件实现的速度。
Neural computing, fuzzy logic and evolutionary computing are widely used in a broad range of application fields. While many fields take full advantage from conventional von Neumann processors, there are still classes, such as for example intelligent systems in high-energy physics, requiring the speed of fully hardware implementations.