Notice of RetractionStudy on applications of neural network to deformation control of dam

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.

Neural networks are increasingly used in the study of deformation control dam based on its self-organization, adaptive, self-learning, associative memory, a high degree of fault-tolerant, parallel processing abilities, a high degree of non-linear mapping capability, as well as linear dynamic characteristics. In this paper combines former research achievements, summarize and analyze the application method of neural network to deformation control of dam, including the safety monitoring model and feedback analysis of dam. The application of neural network bring forward new problem for the research of neural network and put forward new demand on the implementation technology of neural network, which also drive the development of neural network theory and realization.