整数马尔可夫人工神经网络

International 1989 Joint Conference on Neural Networks Pub Date : 1900-01-01 DOI:10.1109/IJCNN.1989.118700

E. David, den Bout, T. Miller

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引用次数: 34

摘要

描述了一种称为TInMANN的大规模并行、全数字、随机数字架构。无论网络大小如何，它执行竞争性和Kohonen类型的学习速度高达每秒145000个训练样本。TInMANN的仿真，无论是否激活了它的良心机制，都证明了它在一些实例问题上的有效性。

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TInMANN: the integer Markovian artificial neural network

A massively parallel, all-digital, stochastic digital architecture called TInMANN is described. It performs competitive and Kohonen types of learning at rates as high as 145000 training examples per second regardless of network size. Simulations of TInMANN, both with and without its conscience mechanism activated, demonstrate its effectiveness on a number of example problems.<>

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International 1989 Joint Conference on Neural Networks

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