首页> 外文会议>Annual German Conference on Artificial Intelligence(KI 2004); 20040920-24; Ulm(DE) >Semiring Artificial Neural Networks and Weighted Automata And an Application to Digital Image Encoding
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Semiring Artificial Neural Networks and Weighted Automata And an Application to Digital Image Encoding

机译:半环人工神经网络和加权自动机及其在数字图像编码中的应用

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In their seminal paper McCulloch and Pitts have shown the strong relationship between finite automata and so-called McCulloch-Pitts networks. Our goal is to extend this result to weighted automata. In other words, we want to integrate artificial neural networks and weighted automata. For this task, we introduce semiring artificial neural networks, that is, artificial neural networks which implement the addition and the multiplication of semirings. We present a construction of a semiring artificial neural network from a given weighted automaton, and back again. After that, we show how we can approach the problem of encoding an image into a weighted automaton by using a semiring artificial neural network in this process.
机译:McCulloch和Pitts在开创性论文中表明了有限自动机和所谓的McCulloch-Pitts网络之间的紧密关系。我们的目标是将此结果扩展到加权自动机。换句话说,我们要集成人工神经网络和加权自动机。为此,我们介绍了半环人工神经网络,即实现半环的加法和乘法的人工神经网络。我们从给定的加权自动机中提出一个半环人工神经网络,然后再返回。之后,我们展示了如何在此过程中使用半环人工神经网络来解决将图像编码为加权自动机的问题。

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