查询词典 neural network

In view of this,it proposes a BP neural network -based model for evaluation of knowledge pro- duction performance for the two kinds o.

针对知识生产的流程更加复杂多变，供应链更新更快且对象更难于量化的特点，提出了批量型和订单型两类知识生产的绩效评估指标体系，在此基础上通过 BP 神经网络模型，得出了它们的绩优度，为知识生产绩效的评估提供了参考和依据。

The dyn amic characteristic model is bui lt and the simulation is made by using GA based neural network.

用基于遗传算法的神经网络对滑觉传感器的动态性能进行了建摸和仿真，从传感器应用的角度出发，依据"逆模型"思想，采用神经网络对传感器建立辨识模型，从而提高了机械手的控制精度和灵敏度

The nonlinear mapping of artificial neural network was used to construct a complicated mathematical model in terms of dynamic friction factor and influencing parameters.

同时编制程序进行多参数共同作用下的摩擦因数实例仿真分析，结果表明研究方法的可行性。

For the problem of parameter variation and nonlinear dynamic friction compensation, a recurrent-neural-network-based adaptive- backstepping control for servo system was proposed.

针对伺服系统的系统参数摄动和非线性动态摩擦补偿问题，提出基于递归神经网络的自适应反步控制系统设计方法。

Simulation results demonstrate that LS-SVM has a good approximate capability for inverse model, and the proposed compound control system has better dynamic track performance, resistance to disturbance of system and robustness than RBF neural network.

仿真研究结果表明LS-SVM的逆模型辨识能力强，该复合控制系统具有比基于最近邻聚类的RBF神经网络逆控制系统更优的动态跟踪性能，更好的抗干扰能力和鲁棒性。

Artificial neural network is a kind of nonlinear dynamic system that consists of large numbers of simple processing units.

人工神经网络是由大的简单处理单元所构成的非线性动力学系统。

Stochastic variables included driven accelerations, driven time, torques, frictions and damps were considered basically. In the first, Monte Carlo method was applied to generate stochastic variables and dynamical responds of mechanism. Secondly, the application of Artificial Neural Network was motivated by the approximate concepts inherent in reliability analysis and time consuming repeated analyses required for MC.

将驱动加速度、驱动时间、摩擦和阻尼力等作为随机变量，应用蒙特卡罗方法，取得动态参数样本，再利用人工神经网络方法，根据抽取的样本对网络进行训练，统计网络输出得到动态应力分布，进而求出机构动态强度可靠度。

The dynamics of neural network, which has been applied widely, is the foundation of application and design.

作为一个有广泛应用背景的神经网络，其动力学行为是应用和设计的基础。

An artificial neural network model is developed to describe the relationship between the EDG grinding parameters and the surface roughness of diamond woodworking cutter .

建立了金刚石木工刀具电火花磨削工艺参数和表面粗糙度关系的人工神经网络模型，该模型对未知工艺条件下的预测结果最大误差为8.27%，具有较高的预测精度。

Study on EDM process parameters selection based on neural network［J］.

基于神经网络的EDM工艺参数选择研究［J］。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。