基于多层神经网络描述的功能转换器结构综合

2016 5th Mediterranean Conference on Embedded Computing (MECO) Pub Date : 2016-06-12 DOI:10.1109/MECO.2016.7525770

A. V. Antonenko, Y. Chelebaeva

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引用次数: 0

摘要

本文研究了信息形式功能转换的结构综合。利用多层神经网络描述进行综合。给出了信息形式神经网络转换器的任务和综合准则。给出了数字码中时隙非线性变换器的实例。

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Structures synthesis of the functional converters based on multilevel neural network description

The article considers structures synthesis of the functional converters of the form of information. Synthesis is made with use of the multi-level neural network description. The task and synthesis criteria of neural network converters of the form of information are formulated. The example of the nonlinear converter of time slot in a digital code is given.

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2016 5th Mediterranean Conference on Embedded Computing (MECO)

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