Parameters Optimization and Application to Glutamate Fermentation Model Using SVM

Xiangsheng Zhang and Feng Pan

Mathematical Problems in Engineering, 2015, vol. 2015, 1-7

Abstract:

Aimed at the parameters optimization in support vector machine (SVM) for glutamate fermentation modelling, a new method is developed. It optimizes the SVM parameters via an improved particle swarm optimization (IPSO) algorithm which has better global searching ability. The algorithm includes detecting and handling the local convergence and exhibits strong ability to avoid being trapped in local minima. The material step of the method was shown. Simulation experiments demonstrate the effectiveness of the proposed algorithm.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:320130

DOI: 10.1155/2015/320130

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