Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Shoubo Feng

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Neural Networks : the Official Journal of the International Neural Network Society|June 7, 2019
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspectiveShoubo Feng, Weijie Ren, Min Han, et al.
IEEE Transactions on Cybernetics|October 29, 2020
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series PredictionShoubo Feng, Min Han, Jiadong Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 23, 2020
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series PredictionMin Han, Weijie Li, Shoubo Feng, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|June 7, 2019
Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspectiveShoubo Feng, Weijie Ren, Min Han, et al.
IEEE Transactions on Cybernetics|October 29, 2020
Learning Both Dynamic-Shared and Dynamic-Specific Patterns for Chaotic Time-Series PredictionShoubo Feng, Min Han, Jiadong Zhang, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 23, 2020
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series PredictionMin Han, Weijie Li, Shoubo Feng, et al.
Pageof 1