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Representation of complex-valued neural networks: a real-valued approach

机译:复杂性神经网络的代表性:一种真正有价值的方法

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A methodology for representing a complex-valued multilayer artificial neural network and its backpropagation learning algorithm in terms of real-valued neural network has been discussed. The performance of the proposed method has been tested on complex-valued XOR problem and power system load flow problems.
机译:已经讨论了在实值神经网络方面代表复值多层人工神经网络及其背部衰减学习算法的方法。所提出的方法的性能已经在复数XOR问题和电力系统负荷问题上进行了测试。

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