Application of the Levenberg-Marquardt method to the training of spiking neural networks

被引：0

作者：

Silva, Sergio M. ^{[1
]}

Ruano, Antonio E. ^{[1
]}

机构：

[1] Univ Algarve, Fac Sci & Technol, Ctr Intelligent Syst, P-8005139 Faro, Portugal

来源：

2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the basic aspects of some neural networks is their attempt to approximate as much as possible their biological counterparts. The goal is to achieve a simple and robust network, easy to comprehend and capable of simulating the human brain at a computational level. This paper presents improvements to the Spikepro algoritm, by introduting a new encoding scheme, and illustrates the application of the Levenberg Marquardt algorithm to this third generation of neural network.

引用

页码：3978 / +

页数：2

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