Modeling the Region Patent Applications Based on P-SVM and SA
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| Title | Modeling the Region Patent Applications Based on P-SVM and SA |
| Authors | |
| Abstract | The domestic patent applications by region (DPAR) are complex to conduct due to its nonlinearity of influenced factors. It is necessary to make a trade off among these factors when some of them conflict. A novel way about nonlinear regression modeling of DPAR with the potential support vector machines (P-SVM) is presented in this paper. In the model development, a simulated annealing (SA) algorithm is employed to optimize P-SVM parameters selection. Using a set of real data from China, simulation results show that the SA optimization algorithm is robust. The results also indicate that methods based on the P-SVM perform are better than the ones based on the standard SVM in both model generalization and DPAR forecasting accuracy. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2011-12-01 |
| Source | Journal of Computers Vol 6, No 12 (2011): Special Issue: Selected Best Papers of ICFMD2010 |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |