基于GA-SVM的水资源可持续利用评价

把水资源可持续利用评价问题看成是一个分类问题,利用支持向量机良好的鲁棒性和分类精确性进行评价,并用遗传算法优化了SVM的参数,使其分类精确度更高.对黑龙江省十三个地区进行了实例应用,与人工神经网络和GD-IIM法的结果进行了比较,结果表明,支持向量机模型简单、通用、精度高,可在水资源可持续利用实际评价中推广应用.

Evaluation of Water Resources Sustainable Utilization Based on GA-SVM

Regard the evaluation of water resources sustainnable utilization as the pattern of classification,and it's evaluated by SVM which has good robustness and classification accuracy.Meanwhile,the parameters of SVM are optimized by genetic algorithm,which makes better classification accuracy.At last,this model is applied to thirteen regions in Heilongjiang province,and the results are compared with artificial neural network and GDIIM method's results,which show that support vector machine model is simple,universal and accurate,and it can be applicated in evaluation of water resources sustainable utilization in practice.