改进型BP神经网络分类识别系统在遥感图像的自动分类识别上有广阔的应用前景。
The modified BP Nerve Network Classify and Identify System has a very wide application foreground in TM images.
提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。
An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
即展示了其应用于针混交林tm遥感图像自动分类识别的能力，又验证了该系统具有随网络规模增大而分类精度提高的发展趋势。
So the result shows that this system can be used to TM image classify and it has a potential to improve its precision with network pattern's augmentation.
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