Abstract
College of International Business, Shenyang Normal University Shenyang, China email:lifeng670312@sina.com Abstract—LM (Levenberg-Marquardt) algorithm is an optimization algorithm for the overall situation which is appropriate for neural network training. It is assumed that standard BP neural network tends to reach the local minimum instead of the optimization of the whole, demand much more training resulting in the low learning efficiency and low rate of convergence. At the same time, it seems easily to forget former sample. To solve the above disadvantages, this paper intends to form prediction model of stock price based on LMBP neural network to forecast stock price, as well as compared with the prediction result carried out by standard BP neural network. At the end, this paper achieves the satisfactory result.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
