Prediction of Cutting Deformation Based on Annealing Neural Network

Abstract:

Article Preview

Along with the construction of highways in our country, many highways are crossing the mountains. The excavation of those roads will form cuttings, cutting deformation monitoring and forecast provides a good guarantee for road construction safety .This paper used simulated annealing (simulated annealing, SA) algorithm combined with BP neural network algorithm, based on monitoring data, to predict the deformation of cutting and well avoid slow convergence of network training and local minimum. In the same initial conditions, the proposed algorithm based on neural network algorithm has a higher training convergence speed and better prediction accuracy than the traditional BP neural network, is an effective forecasting method.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

308-311

DOI:

10.4028/www.scientific.net/AMR.219-220.308

Citation:

Y. Liu et al., "Prediction of Cutting Deformation Based on Annealing Neural Network", Advanced Materials Research, Vols. 219-220, pp. 308-311, 2011

Online since:

March 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.