摘要
本文提出变差图最优拟合的人工神经网络方法,并选取几个实例作为研究对象,其拟合最大相对误差不超过2％,计算机CPU时间不超过80秒。结果表明,该方法性能良好,在地质统计学上有广泛的应用前景。
The artificial neural network method for the best fitting of the variogram is presented in this paper. And several examples are selected as an object of study. Its maximum relative error does not exceed 2.0％ and the calculating time 80 seconds. The results show that the performance of the neural network approach is good, and therefore it might be widely used in geostatistics.
关键词
地质统计学
人工神经网络
变差图
Geostatistics, best fitting, artificial neural network, improved back-propagation model.
