用于计算最大主成分的低功耗模拟芯片

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) Pub Date : 1994-06-27 DOI:10.1109/ICNN.1994.375042

F. Salam, S. Vedula, G. Erten

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引用次数: 2

摘要

描述了计算最大主分量的两种原型电路实现的测试结果。这些实现被设计得很紧凑，并且在低功耗的亚阈值状态下运行。原型使用了我们开发的非线性自学习电路模型的直接实现

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Low power analog chips for the computation of the maximal principal component

Test results of two prototype circuit implementations that compute the maximal principal component are described. The implementations are designed to be compact and operate in the subthreshold regime for low power consumption. The prototypes use direct realization of a nonlinear self-learning circuit models which we have developed.<>

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Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94)

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