一种可重构的连续时间递归神经网络

2005 NASA/DoD Conference on Evolvable Hardware (EH'05) Pub Date : 2005-12-12 DOI:10.1109/CEC.2005.1555002

J. Gallagher, S. Boddhu, S. Vigraham

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引用次数: 5

摘要

可进化硬件是可重构硬件加上一个进化算法。连续时间递归神经网络(CTRNNs)已被提出用于可重构硬件组件。然而，直到最近，几乎所有基于CTRNN的EH都是基于仿真的。这张海报详细介绍了一个可重构模拟CTRNN计算机的设计，该计算机支持外部和内部CTRNN可进化硬件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A reconfigurable continuous time recurrent neural network for evolvable hardware applications

Evolvable hardware is reconfigurable hardware plus an evolutionary algorithm. Continuous time recurrent neural networks (CTRNNs) have been proposed for use as the reconfigurable hardware component. Until recently, however, nearly all CTRNN based EH was simulation based. This poster details a design for a reconfigurable analog CTRNN computer that supports both extrinsic and intrinsic CTRNN evolvable hardware.

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2005 NASA/DoD Conference on Evolvable Hardware (EH'05)

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