Markov Chain Neural Networks

Maren Awiszus; Bodo Rosenhahn

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arXiv · 1805.00784

Markov Chain Neural Networks

Maren Awiszus·Bodo Rosenhahn

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Abstract

In this work we present a modified neural network model which is capable to simulate Markov Chains. We show how to express and train such a network, how to ensure given statistical properties reflected in the training data and we demonstrate several applications where the network produces non-deterministic outcomes. One example is a random walker model, e.g. useful for simulation of Brownian motions or a natural Tic-Tac-Toe network which ensures non-deterministic game behavior.

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Maren Awiszus, Bodo Rosenhahn. 2018-05-02. Markov Chain Neural Networks. https://arxiv.org/abs/1805.00784

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