Abstract: The invention discloses a wind speed prediction method based on feedforward complex-valued neural network (FCVNN), including: acquiring a training set and a prediction set for wind speed prediction, and constructing a FCVNN, and initializing a parameter vector; and introducing a Group Lasso regularization term into a target function for training, transferring the training into solving a constrained optimization problem, training the FCVNN by using the training set and a specialized complex-valued projected quasi-newton algorithm, stopping the training until a preset condition is met, obtaining the trained FCVNN, and inputting the prediction set into the established FCVNN to obtain a wind speed prediction result.

Abstract: The invention discloses a wind speed prediction method based on feedforward complex-valued neural network (FCVNN), including: acquiring a training set and a prediction set for wind speed prediction, and constructing a FCVNN, and initializing a parameter vector; and introducing a Group Lasso regularization term into a target function for training, transferring the training into solving a constrained optimization problem, training the FCVNN by using the training set and a specialized complex-valued projected quasi-newton algorithm, stopping the training until a preset condition is met, obtaining the trained FCVNN, and inputting the prediction set into the established FCVNN to obtain a wind speed prediction result.