这为快速训练复值递归神经网络提供了一条新的途径。
This provides a new way to the fast training of complex valued recurrent neural network.
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。
A Complex-valued Functional Link Neural Network (CFLNN) with its training algorithm is proposed.
提出了一种新的前馈神经网络(N - FNN)复值盲均衡算法。
In this paper, a new complex-valued blind equalization algorithm based on the feedforward neural network (N-FNN) is proposed.
一种新的基于数字滤波器理论的全互连复值递归神经网络训练方法被提出。
A new training approach for the training algorithm of a fully connected recurrent neural network based on the digital filter theory is proposed.
一种新的基于数字滤波器理论的全互连复值递归神经网络训练方法被提出。
A new training approach for the training algorithm of a fully connected recurrent neural network based on the digital filter theory is proposed.
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