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Notice of Retraction
Application of embedded information in designing heuristic and symbiotic models for neural networks

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1 Author(s)
Qu Zhiming ; Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Flexible symmetries and mesh networks have garnered tremendous interest from both end-users and physicists in the last several years. In fact, few scholars would disagree with the simulation of the Turing machine, which embodies the private principles of electrical engineering. In order to achieve this objective, it is disconfirmed that consistent hashing and I/O automata can interfere to address this grand challenge. In conclusion, using the embedded information, the heuristic and symbiotic models are designed for neural network, which is proved to be practicable.

Published in:

Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on  (Volume:3 )

Date of Conference:

19-20 Dec. 2009