Because the initialized weights are optimized, the training accuracy and the learning speed are improved a lot for training complex-valued neural networks.
初始权值的优化，使得该算法可以有效地提高复数神经网络的训练速度和计算精度。
To improve learning speed, a novel method for properly initializing the parameters (weights) of training complex-valued neural networks is proposed.
为了改善学习速率，提出了一种确定复数神经网络初始权值的新颖方法。
It trains a complex neural network whose inputs, outputs, weights and active functions are all complex valued.
该学习算法用来训练一个输入、输出、权值和激活函数均为复数的神经网络。
It trains a complex neural network whose inputs, outputs, weights and active functions are all complex valued.
该学习算法用来训练一个输入、输出、权值和激活函数均为复数的神经网络。
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