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Design device for neuron network and neuron network

机译:神经元网络的设计装置及神经元网络

摘要

PCT No. PCT/DE96/00454 Sec. 371 Date Dec. 8, 1997 Sec. 102(e) Date Dec. 8, 1997 PCT Filed Mar. 14, 1996 PCT Pub. No. WO96/28785 PCT Pub. Date Sep. 19, 1996The invention relates to a device for designing a neural network, in which to determine the number of neurons (21 . . . 24) in the intermediate layer, the domain of the input signal (X1, X2) in question is subdivided into a predefinable number of subdomains, and in the case of a multiplicity n of input signals (X1, X2), the n-dimensional value space of the n input signals is subdivided in conformance with the subdomains in question into n-dimensional partial spaces, and the supporting values (xi, yi) of the training data are assigned to the subdomains or partial spaces, and the subdomains or partial spaces having the most supporting values are selected, and in which case, for each selected subdomain or partial space, provision is made for a neuron in the intermediate layer preceding the output layer. The device according to the invention can be advantageously used for designing neural networks where the training data are unevenly distributed. The invention is generally suited for applications in neural networks.
机译:PCT号PCT / DE96 / 00454 371日期1997年12月8日第102(e)日期:1997年12月8日; PCT申请日期:1996年3月14日。 WO96 / 28785 PCT公开号日期:1996年9月19日,本发明涉及一种用于设计神经网络的设备,其中确定中间层中的神经元(21 ... 24)的数量,即所讨论的输入信号(X1,X2)的域。被细分为预定数量的子域,并且在输入信号有多个n(X1,X2)的情况下,根据所讨论的子域将n个输入信号的n维值空间细分为n维部分空间和训练数据的支持值(xi,yi)被分配给子域或部分空间,并且选择具有最大支持值的子域或部分空间,在这种情况下,对于每个选择的子域或部分空间在空间上,在输出层之前的中间层中提供了神经元。根据本发明的设备可以有利地用于设计训练数据不均匀分布的神经网络。本发明通常适用于神经网络中的应用。

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