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Abstract
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Article Information:
Spiking DNA Computing with applications to BP Neural Networks Classification
Wenke Zang, Xiyu Liu and Ruifang Xia
Corresponding Author: Wenke Zang
Submitted: March 26, 2012
Accepted: April 23, 2012
Published: August 15, 2012 |
Abstract:
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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.
Key words: BP neural network, classification modal, DNA computing, , , ,
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Abstract
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Cite this Reference:
Wenke Zang, Xiyu Liu and Ruifang Xia, . Spiking DNA Computing with applications to BP Neural Networks Classification. Research Journal of Applied Sciences, Engineering and Technology, (16): 2765-2772.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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