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Abstract

There are provided a method of synthesizing axial power distributions of a nuclear reactor core using a neural network circuit and an in-core monitoring system (ICOMS) using the same, in which using the neural network circuit including an input layer, an output layer, and at least one hidden layer, each layer being configured with at least one node, each node of one layer being connected to nodes of the other layers, node-to-node connections being made with connection weights varied based on a learning result, optimum connection weights between the respective nodes constituting the neural network circuit are determined through learning based on various core design data applied to the design of a nuclear reactor core of a nuclear power plant, and axial power distributions of the nuclear reactor core are synthesized based on in-core detector signals measured by in-core detectors during operation of a nuclear reactor, thereby more accurately replicating axial power distributions of the nuclear reactor core throughout an overall period of fuel.

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First Claim