Neural networks的例句大全

Multivariable Time Series Forecasting Model Based on Recurrent Composite BP Neural Networks and Its Application

基于递推合成BP网络的多变量时间序列预测模型

Time Series Forecasting Based on Variable-window Neural Networks Ensemble

基于变窗口神经网络集成的时间序列预测

A Research on Method and Application of Neural Networks for Time Series Prediction

非线性时间序列预测的前馈网络方法及应用

Chaotic time series prediction based on fuzzy boundary modular neural networks

基于模糊边界模块化神经网络的混沌时间序列预测

Time Series Prediction of Ship Roll Using Diagonal Recurrent Neural Networks

DRNN神经网络用于船舶横摇运动的时间序列预报

Considering the complexity and the time variability of industrial process, an adaptive Supervised Distributed Neural Networks ( SDNN) is proposed for modeling of industrial process.

针对工业生产过程的复杂性和时变性，提出一种用于工业生产过程建模的自适应监督式分布神经网络（SDNN）。

Neural networks method for the linear time varying system identification

线性时变系统辨识的神经网络方法

A method of intelligent multi mode control is introduced. The scheme is based on the neural networks which integrate multiple modules and controllers of nonlinear time varying system, and also the neural networks' abilities of qualitative reasoning, quantitative numeric reckoning, learning and memorizing.

基于神经网络所具有的定性推理和定量数值并行计算能力，以及学习记忆能力，集成非线性系统的多个特征模型和控制器，实现了控制系统的多模态智能控制。

Prediction of Time-dependent Bearing Capacity of Driven Piles by Using Artificial Neural Networks

预制桩承载力时效的人工神经网络预测

Approximation of Recurrent Neural Networks to Nonlinear Time-Variant Discrete Systems

反馈神经网络对非线性时变离散系统的近似

Stability Analysis of Cellular Neural Networks with Time-Varying Connection Weights

变连接权细胞神经网络模型的稳定性分析

The method of conicoid fitting and the method of neural networks used for transforming GPS height are introduced briefly in this paper.

简要介绍了转换GPS高程的二次曲面拟合法和神经网络方法。

According to definition of homeomorphism map, the uniqueness of equilibrium for Cohen-Grossberg neural networks with different-type delays.

本章针对工程实际需要，在Cohen-Grossberg神经网络中引入了不同的类的时滞项，根据同胚映射原理，给出了平衡点的唯一性。

The paper presents a study of the artificial neural networks ( ANN) learning machine which is based on the fault detecting expert system.

根据故障诊断专家系统的特点，设计了一种面向故障诊断问题的机器学习系统。

Thermal distortion control of NC machine tools based on compensation fuzzy neural networks

基于补偿模糊神经网络数控机床热变形的控制

In this paper, we first analyze the deficiencies of traditional fuzzy neural networks and improve the learning algorithm. The Layer-Proceeding BP Neural Networks ( LPBPNN) is given based on the hierarchical error and the learning rate which can cooperatively adjust.

本文首先分析了传统的模糊神经网络存在的缺陷，改进了学习算法，提出了将误差与学习率分层，协同调整的层递式BP神经网络。

A gas chromatography based on BP neural networks

基于BP神经网络的变压器气相色谱分析法

The loose part impact positions are located by analyzing signals from accelerometers mounted on the reactor vessel with signal pre processing, time frequency transforms, and neural networks.

通过对安装在反应堆压力壳上的多个加速度传感器的信号进行采集，并经过信号预处理、时频变换、神经网络计算等过程，实现对核电站松动件碰撞位置的定位。

Existence and Uniqueness of Stable Solutions for Second Order Hopfield Neural Networks with Reaction and Diffusion

具有反应扩散的二阶Hopfield神经网络稳态解的存在唯一性

Flight Control of Helicopter by Feedback Linearization Based on Neural Networks

直升机神经网络反馈线化飞行控制