摘要 We introduce the use of 神經 網絡s as classifiers on

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論文資訊

• 類型：已發表論文
• 日期：2020-07-01

摘要

We introduce the use of 神經 網絡s as classifiers on classical disordered systems with no spatial ordering. In this study, we propose a framework of design objectives for learning tasks on disordered systems. Based on our framework, we implement a convolutional 神經 網絡 trained to identify the spin-glass state in the three-dimensional Edwards-Anderson Ising spin-glass model from an input of 蒙地卡羅 sampled configurations at a given temperature. The 神經 網絡 is designed to be flexible with the input size and can accurately perform inference over a small sample of the instances in the test set. We examine and discuss the use of the 神經 網絡 in classifying instances from three-dimensional Edwards-Anderson Ising spin-glass in a (random) field.

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