Recurrent neural network based language model.pdf

CRNN论文

基于自构式反馈模糊神经网络的永磁同步直线电机控制器设计，张茹，，自构式反馈模糊神经网络控制器(SCFFNNC)旨在针对永磁直线同步电动机参数不确定性导致的伺服服系统动态性能变差的问题。根据误差增加

Compound Synchronization Based on Memristive Cellular Neural Network of Chaos System

Feature point detection based on convolutional neural network (CNN) has been studied widely. The eff

Research on the Prediction of FIR Traffic Flow Neural Network Based on Chaotic Adaptive Algorithm

数据融合技术是无线传感器网络的一个关键的技术,能减少传感器的传输量,从而明显提高网络的感知性能,延长网络生命周期,减少时间延迟。多传感器的数据融合可以获得比单一传感器更多,更准确的信息。本文针对从含有

Named Data Networking (NDN) is a recent promising future Internet architecture, which forwards packe

This paper considers the problem of observer-based adaptive neural network (NN) control for a class

Aiming at the disadvantages of prediction model of single BP neural network, a prediction model was

Blind Detection Algorithm Based on Composite Sinusoidal Chaotic Neural Network