查询词典 neural network

Based on the research work of basic theories including phase space reconstruction,embedding theorem,correlation dimension,local dynamics,Lyapunov exponents,surrogate data etc,based on the research work of general methods such as principal component analysis,correlation dimension GP algorithm,false neighbors method,nonlinear time series prediction,local prediction, adaptive prediction,neural network model,support vector machines regression model, prediction power,nonlinear detection,coarse-graining methodology,conditional entropy and so on,the framework of nonlinear time series analysis are constructed.

在对包括相空间重构、嵌入定理、关联维数、局部动力学、Lyapunov指数、替代数据(来源：A97BC论文网www.abclunwen.com)、等基本理论与其物理意义的研究和讨论基础上；在对包括主分量分析、关联维数GP算法、伪邻近点法、非线性时间序列预测、局域预测、自适应预测、神经网络模型、支持向量回归模型、预测效果、非线性检测、粗粒化方法、条件熵等非线性时间序列一般分析方法的原理和算法研究基础上；构建了新的非线性时间序列分析的理论体系，归纳总结了非线性时间序列分析的基本问题和主要研究方面。2。

In this paper, we apply the magnetic dipole theory and finite element theorycombined with artificial neural network arithmetic.

针对上述问题，本文深入研究了漏磁信号的处理技术及基于漏磁检测信号缺陷评估技术，主要研究工作如下：1。

Finally, the research direction and key problem to be solved are also discussed for Neural Network controller.

最后讨论了神经网络控制器发展方向与亟待解决的问题。

In this paper, a new dynamic accuracy theory is developed. It called the theory of the tracing of dynamic measuring error. The total output error is discomposed to the internal units as well as the external noises. And its modeling methods are discussed. Wavelet neural network is an important method in modern signal processes.

近年来 ，国内外不少学者致力于动态测试方法及数据处理方法的研究，取得了一定的成果，但是对动态测试误差分析方法的研究还不够成熟，不能满足现代高精度测试的要求，需要深入研究新的理论和分析方法。

A adaptive radial basis function neural network model based on discrete particle swarm optimization algorithms is proposed.

提出了一种基于离散粒子群的自适应RBF网络模型。

In the recent 50 years, many models such as Multivariate Discriminant Analysis and Neural Network come out.

近五十年来，从多元判别分析等线性预测模型，到以神经网络模型为代表的各种非参数预测模型，相关的研究成果层出不穷。

A facial expression recognition method based on double discriminant subspace and radial basis function neural network is proposed in this paper.

提出了一种新的基于双决策子空间和径向基函数神经网络的人脸表情识别方法。

To make occurrence degree prediction, single factor regression algorithms, stepwise regression algorithms, discriminatory analysis, Markovian model, fuzzy mathematics theory and Back propagation neural network algorithms are studied and models are builded.

将筛选出的主要气象因子作为预测因子，分别用单因子回归预测法、逐步回归预测法、判别分析预测法、马尔柯夫链预测法、模糊数学预测法与神经网络预测法建立了关中地区小麦吸浆虫的发生程度的预测模型。

Every research result shows that Bayesian Classifier acts as one important class technology, Compared with Decision Tree Construction and Neural Network Classifier, Bayesian Classifier can adequately bring into play its incertitude discursion ability, so it can ameliorate learning ability and increase accuracy of forecast, it have better class effect in some conditions.

各种研究结果表明：贝叶斯分类作为数据挖掘中一项重要的分类技术，与决策树和神经网络分类器相比，贝叶斯网络分类器可以充分发挥它的不确定性推理能力，从而改善学习效果，提高预测准确率，在某些情况下具有更好的分类效果。

It can enhance generalization ability of neural network and distill the rules automatically by using the new method.

为了避免单纯使用神经网络易陷入局部极小的缺点，本文还提出了一种融合遗传算法？？

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。