They are suitable respectively for determinant information systems, stochastic information systems and state dependent systems.

对于非完全信息系统，则给出了一种具有学习、探索、跟踪、适应和理性选择功能的判别方案。

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The learning process of a neural network is considered the process in which neural network variables are changed with a time series of input signals generated from a stochastic information source.

根据该理论，学习过程就是由随机信息源产生的输入信号驱动神经网络参数不断修改的过程；

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A multiresolution registration method using mutual information combined with a stochastic optimization technique is presented to solve these problems.

提出了一种结合互信息和随机优化技术的多分辨率配准方法。

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