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Modeling the Region Patent Applications Based on P-SVM and SA

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  • Potential Support Vector Machines
  • Simulated Annealing
  • Optimization Algorithm
  • Patent Applications Filings
  • Computer Science


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.

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