Abstract
The new algorithm based on network decomposition into layers and estimation of the local weights by using extended Kalman filter (EKF) derived from the local optimality criteria is proposed in this paper. Local optimality criteria are formulated on the basis of specific output error backpropagation. Simulation examples show a high efficiency of the proposed algorithm from the point of view of both convergence rate and generalization capabilities.
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.