文章最后结合九类自然纹理图像，分别基于标准子波特征、子波包特征用BP神经网络进行了分类识别。
Finally, nine kinds of natural images are classified successfully based on wavelet feature using BP neural network.
通过训练后，将20个未分类的人工序列样本和1 82个自然序列样本提取特征形成特征向量并输入两个网络进行分类。
After the training, characters are extracted from the2 0 unclassified artificial sequence samples and1 82 natural sequence samples to form the character vectors as input of the two NN for clustering.
认为囊壳在系统分类中的作用是非常重要的，在囊裸藻属自然分类系统建立时，既要依照原生质体的特征，也要充分参考囊壳的特征。
Characters of envelope were important in systematics and establishment of natural system not only bases on characters of protoplast but also on characters of envelope.
根据太白山自然保护区立地特征，以生态学作为立地分类理论依据，制定出一套较为完整的立地分类系统。
According to the site characteristics of Taibai Mountain conservation area, using ecology as theoretical bases, an integrated site classification system is established.
以自然图像库为例进行实验，结果表明本文提出的图像分类检索方法较单一特征检索有较好的效果，检索效率和精度都有所提高。
Experiment conducted with image database on nature scenery has proved the combined image retrieval method, put forward by the author, is better off in terms of effectiveness and accuracy.
通过训练后，将20个未分类的人工序列样本和182个自然序列样本提取特征向量并输入两个网络进行分类。
After the training, characters are extracted from the 20 unclassified artificial sequence samples and 182 natural sequence samples to form the character vectors as input of the two NN for clustering.
通过训练后，将20个未分类的人工序列样本和182个自然序列样本提取特征向量并输入两个网络进行分类。
After the training, characters are extracted from the 20 unclassified artificial sequence samples and 182 natural sequence samples to form the character vectors as input of the two NN for clustering.
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