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.
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页码：3978 / +
页数：2
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