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2 0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.
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