它们分别经过语言调制和联结学习的方式进行转化，从而企业知识经历个体知识，团队知识到组织知识转化的双向过程。
They transform from either adjustment system of language or study system so that business enterprise knowledge changes from the individual knowledge, team knowledge and organization knowledge.
常规的反向传播网络（BP）是一种内部呈完全联结的全局性网络，它对非平滑系统的学习能力较弱。
Regular back-propagation networks (BP) are fully connected globalized neural networks, it is usually difficult for them to approximate illbehaved systems, which exist in any application field.
动态联结、加载器行为、以及内存管理，是特别容易在这个学习过程中推理而得的三个主题。
Dynamic coupling, the loader behavior, and memory management, are particularly susceptible to reasoning in the learning process derived from the three themes.
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