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2012 (Vol. 4, Issue: 16)
Article Information:

Spiking DNA Computing with applications to BP Neural Networks Classification

Wenke Zang, Xiyu Liu and Ruifang Xia
Corresponding Author:  Wenke Zang 

Key words:  BP neural network, classification modal, DNA computing, , , ,
Vol. 4 , (16): 2765-2772
Submitted Accepted Published
March 26, 2012 April 23, 2012 August 15, 2012
Abstract:

The study uses the idea of the extreme parallel to solve the BP neural network classification. Modification of the weights is not the traditional method which is to modify the connection weights between neurons repeatedly, but to find a group of weights in all possible weights combinations. The groups of weights are suitable for the relationship of the ideal input and the ideal output. Therefore, the model has some advantages compared with the traditional serial model in time miscellaneous. In the actual DNA computing, we also associate the coding problem with the model design. The coding problem is an important issue worthy to study in the DNA computing. There are many factors affecting the coding. The coding in this study is made when certain factors are overlooked.
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  Cite this Reference:
Wenke Zang, Xiyu Liu and Ruifang Xia, 2012. Spiking DNA Computing with applications to BP Neural Networks Classification.  Research Journal of Applied Sciences, Engineering and Technology, 4(16): 2765-2772.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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