基于循环权矩阵的神经网络的记忆容量
Memory Capacity of Neural Networks using a Circulant Weight Matrix
摘要：
本文利用循环矩阵给出了广义反馈神经网络记忆容量的结果。儿童在出生后不久就能够学习，这表明大脑的神经网络具有先前的学习能力，这是大脑组织中规则结构的结果。基于这一思想，我们考虑了循环矩阵作为权矩阵在反馈网络中的容量。
英文摘要：
This paper presents results on the memory capacity of a generalized feedback neural network using a circulant matrix. Children are capable of learning soon after birth which indicates that the neural networks of the brain have prior learnt capacity that is a consequence of the regular structures in the brain's organization. Motivated by this idea, we consider the capacity of circulant matrices as weight matrices in a feedback network.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
