This provides a new way to the fast training of complex valued recurrent neural network.
这为快速训练复值递归神经网络提供了一条新的途径。
A Complex-valued Functional Link Neural Network (CFLNN) with its training algorithm is proposed.
提出了一种复值函数型连接神经网络(CFLNN)结构及其学习算法。
In this paper, a new complex-valued blind equalization algorithm based on the feedforward neural network (N-FNN) is proposed.
提出了一种新的前馈神经网络(N - FNN)复值盲均衡算法。
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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