Abstract
To enhance the training speed of neural network traditional BP algorithm, takes 3 layer neural networks as an example, through the analysis and optimization for weights derives the improved BP algorithm - Double Weights iterative optimization method. By comparison of this algorithm and the traditional algorithm, the new algorithm can save training time under the premise of ensuring the accuracy, and summarized the characteristics of the algorithm.
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 callMore From: 2011 Seventh International Conference on Natural Computation
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.
