【摘要】 对基于BP 人工神经网络的农用地分等中出现的原始数据标准化和训练样本的类型典型性问题,提出用数据分类标准化和模糊系统聚类分析建立训练样本集的方法解决.实证研究表明,这两种方法结合应用能充分发挥BP ANN分类器的功效,并获得高精度的结果.更多还原

【Abstract】 In this paper, the method for forming a collection of training samples with standardization of data type and fuzzy system cluster analysis was applied to solve the standardization of original data and representation of training sample types, which based on the BP- artificial neural network for the grade of farming land. The confirmation study showed that combination of the two methods led to high efficacy of BP-ANN classification and precise results were obtained.更多还原