An Improved Nonlinear Grey Bernoulli Model Based on the Whale Optimization Algorithm and Its Application

In order to improve the prediction performance of existing nonlinear grey Bernoulli model and extend its applicable range, an improved is presented by using a modeling technique optimization methods. First, traditional whitening equation transformed into linear formulae. Second, structural parameters are proposed eliminate inherent error caused leap jumping from differential difference one. As result, obtained. Finally, calculated whale algorithm. The numerical results several examples show that model’s accuracy higher than models, more suitable for these practical cases.