The Multilayer Random Neural Network

被引：0
作者：
Jose Aguilar
Cristhian Molina
机构：
[1] Universidad de Los Andes,CEMISID, Departamento de Computación, Escuela de Ingeniería de Sistemas
来源：
Neural Processing Letters | 2013年 / 37卷
关键词：
Random neural network; Multilayer artificial neural network; Learning algorithm;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We propose in this paper an extended model of the random neural networks, whose architecture is multi-feedback. In this case, we suppose different layers where the neurons have communication with the neurons of the neighbor layers. We present its learning algorithm and its possible utilizations; specifically, we test its use in an encryption mechanism where each layer is responsible of a part of the encryption or decryption process. The multilayer random neural network is a stochastic neural model, in this way the entire proposed encryption model has that feature.
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页码：111 / 133
页数：22
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