通过概念聚类识别孤立点，运用规划识别技术和贝叶斯因果网络实现目标的预测、识别，最终实现系统自学习。
The system applies conceptual clustering technology to recognize outliers, and uses plan recognition and causal network to predict and recognize the target.
以小麦群体绿色面积和绿色叶面积指标信息的获取为例，研究了基于图像信息构建自学习BP神经网络识别模型的技术。
A recognition system based on self learning BP neural network for feature data of wheat population images, such as total green areas and leaves areas was designed in this paper.
产业成长源自学习和内部技术能力的积累。
Industry growth could be derived from learning and accumulation of internal technology capabilities.
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