查询词典 neural network

First,the BP neural network to carry on the partial diagnosis to the fault information is used,then the fusion using the D-S evidence theory to the partial diagnosis result is carried on,and the final fault result is obtained.The introduction of D-S evidence theory increases the diagnosis result reliability and the accuracy,enhances the diagnosis algorithm compatibility.

首先用BP神经网络对故障信息进行局部诊断，然后利用D-S证据理论对局部诊断结果进行融合，进行全局诊断，得到最终的故障结果。D-S证据理论的引入，增大了诊断结果的可靠性和准确性，提高了诊断算法的适应性。

By analyzing the experimental result it is concluded that manual neural network method is superior to linear regression method and partial leastsquares method.

实验结果表明，人工神经网络方法优于线形回归法和偏最小二乘方法。

Results The proposed method was compared with partial least square regression and radial basis function neural network modeling methods.

结果 测定正交设计标样中的阿司匹林、对乙酰氨基酚和咖啡因的平均回收率分别在98.2%～101.2％之间，RSD在0.47%～0.91％之间。

Spatial data mining ; Clustering ; Self-organizing neural network ; Urban function partition

空间数据挖掘；聚类；自组织神经网络；城市功能分区

Artificial neural network pattern recognition method is the new way in recent years.

人工神经网络模式识别方法是近些年提出的新方法。

Therefore, the neural network pattern recognition technology is also widely used and development.

因此，神经网络技术在模式识别中也得到广泛应用与发展。

Aiming at measuring path planning by using peak value,neural network predictor based on parameter model is presented.

针对峰值法中测量路径规划问题，提出了基于参数模型学习的神经网络预测器。

The relative standard deviation,the percent standard error of prediction samples and the percent standard error of calibration samples were used for evaluating the ability of the neural network.

选择红外谱图严重重叠的五种大气有机毒物作为多组分体系。相对标准误差、百分标准预测误差和百分标准校准误差被用于衡量神经网络的性能。

In this paper, a neural network algorithm is proposed for accurate estimation from periodic signals in power systems.

该文提出一种基于神经网络的高精度电力系统频率谐波分析算法。

The optimal control problem for the FCC process is solved using the MFNN (multilayer feedforward neural network) for system recognition and modeling, periodogram analysis for model testing, and the advanced Frank-Wolfe algorithm for steady state optimization computation.

为解决催化裂化过程的优化控制问题，采用多层前馈神经网络进行辨识、建模，用周期图检验法对模型检验，用改进的Frank-Wolfe算法进行稳态优化计算，并以大港炼油厂实际生产过程的稳态数据进行试验和验证，说明神经网络适合于解决非线性复杂生产过程的辨识、建模和稳态优化控制问题。

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。