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Inversion of Complex Neural Network

机译:复杂神经网络反演

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摘要

In this work inversion of complex neural network has been investigated by which Complex New Neuron Model is also achieved by extending the gradient descent inversion algorithm to complex domain. The performance of complex neural network in learning the function mapping in complex domain is also studied. The complex domain inversion of neural network and new neuron model has also been reviewed and investigated in this paper.
机译:在这项工作中,已经研究了复杂神经网络的反演,通过将梯度下降反演算法扩展到复杂域,还可以实现复杂的新神经元模型。还研究了复杂神经网络在学习复杂域功能映射中的性能。本文还对神经网络的复杂域反转和新的神经元模型进行了综述和研究。

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