Deal with the problem of object and relation mapping is to solving the problem of data persistence.
对象和关系的映射实际上是要解决数据持久性问题。
It get the nonlinear mapping to describe the relation of the system's input and output by learning the controlled system's input and output data.
它依据被控系统的输入输出数据，通过学习得到一个描述系统输入输出关系的非线性映射。
According to quantitative parameters mapping relation, heuristic knowledge acquisition strategy based on qualitative reasoning and data mining is proposed.
针对量化参数间映射关系，提出了基于定性推理和基于数据挖掘的启发性知识获取策略。
With the implicit function relation, BP (Back Propagation) neural network can easily realize the mapping between input data and output data.
通过找出其隐式函数关系，误差反向传播神经网络可以实现输入和输出间的任意映射。
With the implicit function relation, BP (Back Propagation) neural network can easily realize the mapping between input data and output data.
通过找出其隐式函数关系，误差反向传播神经网络可以实现输入和输出间的任意映射。
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