Abstract
Many practical problems are related to the search for interconnections between the behavior of complex objects and relatively rare events caused by this behavior or correlated with it. In such cases, it can be assumed that the occurrence of each event is preceded by some phenomenon, i.e., a combination of values of the features describing the object under consideration in a known range of time delays. This work continues the investigation of the neural-network based method for analyzing such objects developed by authors elsewhere. The method aims at revealing morphological and dynamical features that cause the event or precede its occurrence.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.