Notice of RetractionStability analysis of penstock based on IEP_ANN algorithm

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.

Stabilization problem of hydropower station penstock under external pressure is one of main control conditions of penstock design. At present, because of factors of assumption conditions and boundary simplification, the various calculation methods of the problem have their limitations; sometimes even calculation results have great differences. In this paper, penstock critical external pressure is simulated by artificial neural network model of based on immune evolutionary programming (IEP_ANN). The method better overcome easy premature convergence shortcoming of other evolutionary computations when solution group distribution is uneven. Example results show that method is feasible and its validity is verified. This paper provides an efficient solving path for stability problem of stiffening penstock under external pressure.