Neural networks的例句大全

This thesis used RBF neural networks which have the best approximation capability to recognize on-line hand-drawn electronic component symbol.

本文采用最佳逼近能力的RBF神经网络对手绘电气草图进行在线识别。

This paper discusses the character recognition based on neural network technology. We use different neural networks to identify the alphanumeric characters and Chinese characters.

最后讨论基于神经网络的字符识别技术，对汉字和字母数字采用不同的神经网络进行识别，达到良好的效果。

Study on the Non-equilibrium Thermodynamic Theory of Neural Networks

神经网络的非平衡态热力学研究

Simulation research on strip flatness and thickness control based on dynamic RBF neural networks

基于动态RBF神经网络的板形板厚综合控制仿真研究

The strip thickness deviation and the rolling force difference were predicted by BP neural networks, and a correction algorithm was carried out to rectify these deviations by changing the roll gap.

对带钢厚度偏差和轧制力偏差进行BP智能预测，并提出变辊缝法偏差校正算法实现偏差校正。

Wavelet neural networks model on threshold electric field of field emission from thin films

薄膜场发射开启电场的小波神经网络预测模型研究

This thesis uses the model of wavelet neural networks, proposes the forecasting model of neural networks in combination with the characteristics of field emission cold cathode, and applies the data of threshold electric field of carbon nanotubes thin film to test.

文章利用小波神经网络模型，结合薄膜场发射的特性建立了场发射开启电场的神经网络预测模型，并用碳纳米管薄膜的开启电场数据样本进行验证。

Common segmentation methods are edge detection based algorithm, threshold method, region growing method, coordinate mapping method, neural networks method and so on.

对图像进行分割常见的方法有基于边缘的检测算法、阈值分割法、区域生长分割法、坐标映射分割法、基于神经网络实现分割法等。

Direct Control of Aeroengine Thrust Based on Correlation Analysis and Neural Networks

基于相关性分析和神经网络的直接推力控制

Back Propagation Neural Networks Based on Wavelet Multi-Resolution Analysis for Tide Level Forecast

基于小波分析的BP神经网络潮水位预测方法

Adaptive Neural Networks Control for Tilt Rotor Aircraft Platform

倾转旋翼机模拟平台自适应神经网络控制

Identification of Tilting Control System of Titling Train Based on Neural Networks

基于BP神经网络摆式列车倾摆控制系统的辨识

The results showed that: the cubic spline interpolation and BP neural networks are more reasonable in the unequal time interval conversion, the method of the BP neural network is the most precise.

结果表明：三次样条插值法和BP神经网络法对不等时距序列进行等时距转换较为合理，BP神经网络法尤为理想。

The prediction of ship motion is significant for ship navigation, but there is no effective solution to the ship pitching problem so far, and Time Series, Period Graph Method, Neural Networks and Grey System Theory were used to study the motion of a ship.

以往曾有人利用时间序列法、周期图法、神经网络法及灰色系统理论等方法来研究船的运动.目前还没有一种有效的方法解决船的纵摇。

Time history integral method of acceleration based on artificial neural networks

基于神经网络的加速度时程积分方法

A novel method based on neural networks for discrete time optimal control problems

离散时间最优控制问题的一种神经网络新解法

To shorten the convergence time, the optimal search problem of disparity map is converted to an iterative convergence process of bi-valued neural networks.

为加快收敛速度，该算法将视差图的最优搜索问题转换为二值神经网络的迭代收敛过程。

Based on the delay time phase reconstruction of the chaotic dynamical system and the nonlinear characterization of the neural networks, the prediction of factual EEG signals were investigated by using the radial basis function neural networks with the adaptive projective learning algorithm.

基于混沌动力学系统相空间的延迟坐标重构及人工神经网络的非线性特性。研究了采用基于自适应投影学习算法的径向基函数网络对实测的EEG信号进行预测。

Application of Adjusted RBF Neural Networks to Financial Time Series Data Forecasting

改进的RBF神经网络算法在金融时序列预测中的应用

Chaotic time series forecasting based on dynamic recurrent neural networks model

基于动态递归神经网络模型的混沌时间序列预测