SIRENA: a simulation environment for CNNs

R. Domínguez-Castro, S. Espejo, Á. Rodríguez-Vázquez, I. Garcia-Vargas, J. Ramos, R. Carmona
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引用次数: 2

Abstract

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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SIRENA: cnn的模拟环境
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。
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Realisation of a digital cellular neural network for image processing Convergence and stability of the FSR CNN model A versatile CMOS building block for fully analogically-programmable VLSI cellular neural networks A fast, complex and efficient test implementation of the CNN Universal Machine Optoelectronic cellular neural networks based on amorphous silicon thin film technology
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