查询词典 neural process

It was proposed in this paper that the method combined Neural Networks with Maximum Likelihood method was used to solve this inverse problem. It solved the problem of local minima during iteration process, and also improved the precision of estimation.

本文提出了神经网络与极大似然估计相结合的方法，解决了求解上述反演问题中迭代过程发散和陷入局部最优的问题，并且得到了较高的估计精度。

Finally, this course mainly introduces some signal processing and pattern recognition techniques including wavelet analysis, artificial neural network, and data fusion, which can be used to process and analyze NDE data.

另外，还介绍在无损检测中应用的一些信号处理技术，如小波分析、神经网络和数据融合等技术。

In this paper, a multi step predictive control strategy based neural network model is proposed for pH neutralization process control problems.

针对pH值控制系统提出了一种基于神经网络的多步预测控制算法。

Aiming to the two points of data compressing and characteristic distilling during the pretreatment of image data process, this paper introduces a non-numeric parallel algorithm of continous hopfield neural network used to clustering of image data mining.

针对图像数据预处理中的数据压缩和特征提取两个重点，介绍一种基于连续Hopfield神经网络的非数值并行算法应用于图像数据挖掘的聚类预处理过程。

First, a series of numerical analysis experiments are designed to investigate the effect of process variables on the damage factor, which constructs the learning samples for training the artificial neural network.

将基于数值模拟、人工神经网络和遗传算法的优化方法应用到镁合金的挤压工艺参数优化中，实现了镁合金挤压工艺设计过程中的参数优化问题。

According to the method,a input/output off-line model and time delay parameter of a unknown time delay process is identified by ULN.The ULN that can be a neural network predictor is used for a prediction model of the time delay systems.

该方法利用本文提出的通用学习网络自适应算法对模型未知的时滞系统进行离线建模，得到该过程的输入输出模型以及系统的滞后时间，进而将辨识得到的神经网络模型作为模型预测器对时滞系统进行预报。

So the input optimization model was solved based on neural network and genetic algorithms, and the optimal process parameters were calculated.

在神经网络模型的基础上结合遗传算法求解网络输入参数优化模型，计算出最佳的工艺参数。

A method is proposed in order to accelerate the convergence of artifcial neural network modeling of chemical process,in which the principal components analysis is applied in the data processing in training sets.

文摘：达到提出应用主成分分析法对样本进行预处理，减少网络的输入因子数，消除输入因子间的相关性并简化网络结构，达到提高网络学习速率的目的，得到的人工神经网络模型能达到所要求的精度。

In consideration of the complexity of the aggregation operation of time in process neural networks, a new learning algorithm based on function orthogonal basis expansion is proposed.

该文在考虑过程神经网络对时间聚合运算的复杂性的基础上，提出了一种基于函数正交基展开的学习算法。

Keywords: process neural network;orthogonal function basis;aggregation operation;learning algorithm;complexity of computation

该文在考虑过程神经网络对时间聚合运算的复杂性的基础上，提出了一种基于函数正交基展开的学习算法。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。