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learning system for network neuronica appropriate architecture physically can be introduced during the learning process.

机译:在学习过程中,可以物理地引入适合于网络神经元的学习系统。

摘要

The subject of the invention is a learning system for a neural net physically insertable in the learning process, which comprises a detecting member for presenting to said neural net the basic information set that said neural net has to learn in order to provide a desired response; a microprocessor suitable to iteratively execute a learning algorithm based on a comparison among said basic information set itself, the response that the neural net provides and the response that one wants to obtain from the neural net (see FIG. 1).
机译:发明内容本发明的主题是一种可物理地插入学习过程中的神经网络的学习系统,其包括:检测构件,用于向所述神经网络呈现所述神经网络必须学习以提供期望的响应的基本信息集;一种微处理器,适于基于所述基本信息集本身,神经网络提供的响应以及想要从神经网络获得的响应之间的比较来迭代地执行学习算法(参见图1)。

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