US Patent Issued to SOOCHOW UNIVERSITY on July 8 for "Wind speed prediction method based on forward complex-valued neural network" (Chinese Inventors)

ALEXANDRIA, Va., July 9 -- United States Patent no. 12,354,000, issued on July 8, was assigned to SOOCHOW UNIVERSITY (Suzhou, China).

"Wind speed prediction method based on forward complex-valued neural network" was invented by He Huang (Suzhou, China) and Zhongying Dong (Suzhou, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "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 sol...