A new grey neural network and its application to vibration control of offshore platform

To deal with the difficulties in confirming the structure of neuron model and low forecast accuracy of grey theory, the grey situation decision theory based on new effect measure is proposed for the first time, and it is adopted to construct the structure topology of neural networks and determine the number of neurons in various layers and input-output computation of neurons. Then the grey neural network is taken as adaptive predictive inverse controller, which is implemented to the active control of jacket offshore platform. The simulation results show that the obtained grey neural network has strong robustness, and thus can be used to effectively control the displacement response on the top of jacket offshore platform under the random loads.