SIRENA: cnn的模拟环境

Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94) Pub Date : 1994-12-18 DOI:10.1109/CNNA.1994.381639

R. Domínguez-Castro, S. Espejo, Á. Rodríguez-Vázquez, I. Garcia-Vargas, J. Ramos, R. Carmona

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引用次数: 2

摘要

SIRENA是人工神经网络的通用仿真环境，重点是cnn。一个特别的兴趣已经放在允许模拟和建模从VLSI实现预期的非理想效果。SIRENA可以比传统的CNN模拟器更详细地模拟CNN，并且比spice型电子模拟器更有效。

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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SIRENA: a simulation environment for CNNs

SIRENA is a general simulation environment for artificial neural networks, with emphasis towards CNNs. A special interest has been placed in allowing the simulation and modelling of the non-ideal effects expected from VLSI implementations. SIRENA allows the simulation of CNNs in greater detail than conventional CNN simulators, and much more efficiently than SPICE-type electrical simulators.<>

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Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)

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