作　　者： ; ;

机构地区： 华南师范大学地理科学学院地理科学系

出　　处： 《地理研究》 1999年第4期382-390,共9页

摘　　要： 华南全新世海岸沙丘岩和海滩岩同是热带、亚热带海岸线附近胶结的岩石， 其沉积结构和构造极为相似， 很容易混淆。人工神经网络是最近发展起来的一种信息处理方法， 可以处理模糊的、非线性的、含有噪声的数据， 为海滩岩和沙丘岩的识别提供了一种新方法。用华南海岸现代风成砂和海滩砂的粒度参数作为训练样本，华南海岸全新世沙丘岩和海滩岩的粒度参数作为测试样本， 经过训练的Ｂ－ Ｐ网络能够根据海滩砂和海岸沙丘砂的粒度参数来区分大部分的海滩岩和海岸沙丘岩， 其效果比传统的识别方法好。 Artificial neural networks (ANN) are a recently developed information processing technique, which is most likely to be superior to other methods in processing data of nonlinearity and ill-definition and corrupted by significant noise. ANN is wildly and successfully applied in the fields of biology, electronics, computer science, mathematics and physics. Nevertheless, few examples of application of ANN in geo science are found. Holocene beach rocks and coastal dune rocks distributing on Chinese tropical and subtropical coasts are rocks being cemented by calcium carbonate and have similar sedimentary structure and texture so that it is very difficult to distinguish them from each other. However, beach rocks are the cemented beach sand in the inter-tidal zone of beaches, while coastal dune rocks originate from coastal dunes cemented by calcium carbonate. The beach rocks and the beach sand have the same dynamical agent deferring from that of the coastal dunes and the dune rocks. This fact makes it possible to identify the dun rocks from the beach rocks according to the difference of the grain size parameters between the coastal dune sand and the beach sand. Unfortunately, scatter charts, which are quite commonly used for sediment pattern recognition in sedimentology, fail to do it due to the ill-defined boundaries between these sediments. Back propagation (BP) network, which is one of the most powerful ANN models applied in pattern recognition, provides an excellent solution to this problem. Several BP networks with two, three and four inputs were constructed, and each has one intermediary layer and one output. The inputs of the networks were the grain size parameters of the sediments, such as the mean, the sorting, the skewness and the kurtosis. The grain size parameters of modern coastal dune sand and beach sand collected from South China coasts were used to train the BP networks which were sequentially tested by those of the beach rocks and coastal dune rocks also taken from South China coasts. The ful

关 键 词： 人工神经网络 网络 沉积物识别 海滩岩

领　　域： [天文地球] [天文地球]