用信息论确定神经网络参数

[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91 Pub Date : 1991-11-10 DOI:10.1109/TAI.1991.167110

R. Brause

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引用次数: 0

摘要

信息最优分配原则是有效利用给定网络中不同信息存储资源的准则。此外，它还可以作为一种工具来平衡系统参数，并根据给定最大性能误差的最小系统存储(系统描述信息)获得最优网络参数配置。该原理是通过最大化网络的输出信息推导出来的。以一个简单的非线性函数近似为例，说明了该原理的应用。

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The determination of neural network parameters by information theory

The principle of optimal information distribution is a criterion for the efficient use of the different information storage resources in a given network. Furthermore, it can be used as a tool to balance the system parameters and to obtain the optimal network parameter configuration according to the minimal system storage (system description information) for a given maximal performance error. The principle was derived by maximizing the output information of the network. The use of the principle was demonstrated for the example of a simple nonlinear function approximation.<>

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[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91

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