支撑向量机在沧州水资源可持续利用评价中的应用

沧州是一个水资源匮乏的城市,水资源是制约工农业经济增长的命脉,因此研究沧州水资源可持续利用问题意义重大.本文将可持续发展评价问题看成是模式的分类问题.考虑到传统的神经网络方法对可持续发展评价时具有训练速度慢,训练样本大,网络的泛化能力差等缺点,本文采用支撑向量机方法来训练沧州水资源可持续利用评价模型,对沧州的水资源利用问题进行评价.实验的结果表明,该模型预报的准确率比一般的神经网络准确率都要高.

Application of support vector machine in evaluation of Cangzhou sustainable development of water resource

It is important and meaningful to evaluate the sustainable development level of water resource in Cangzhou because of the lackofwater in Cangzhou. This paper regards the problem of evaluation as the pattern classification. Consideringthetraditional Neural network has the disadvantages of slower speed of training, large training samples and bad network extension. We propose the support vector machine is proposed to train the model of Cangzhou and it is used to evalute the water level of Cangzhou susta- inable development. Results of the simulation show that the accuracy is higher than any of traditional Neural Network.