基于最小复杂度原理的浅层神经网络结构设计

2016 24th Mediterranean Conference on Control and Automation (MED) Pub Date : 2016-06-21 DOI:10.1109/MED.2016.7535872

V. Vasilyev

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引用次数: 3

摘要

讨论了神经网络结构选择问题。提出了基于最小复杂度原则的浅神经网络设计的建设性方法。考虑了它在解决实践中经常遇到的不同类型任务时的特点。

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Structural design of shallow neural networks on the basis of minimal complexity principle

The problem of neural network structure selection is discussed. The constructive approach to shallow NNs design based on using the minimal complexity principle is offered. The peculiarities of its application to solving different classes of tasks often met with in practice are considered.

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2016 24th Mediterranean Conference on Control and Automation (MED)

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