首先基于统计数据和经验知识，建立神经网络，数学模型和规则模型。
First, neural networks, mathematical models and rule models are constructed based on statistical data and empirical knowledge.
人工神经网络技术在统计模式识别领域中的推广能力上成为了一个替代技术。
Artificial neural networks constitute an alternative technique to be used for generalization within the area of statistical pattern recognition.
用多元统计和人工神经网络法得到的新西兰气候变化信息。
New Zealand climate change information derived by multivariate statistical and artificial neural networks approaches.
本文首先采用非统计的方法给出了基于神经网络的无损数据压缩新方案。
First, the new scheme of a lossless data compression based on neural network is given by using non-statistical method.
本文以统计理论为基础，主要讨论在计算机上用软件模拟实现的神经网络分类器。
Based on the theory of statistics, this dissertation investigates neural network classifiers realized with software simulation in the computer.
人工神经网络不具备统计回归模型的显式表达形式，是一种隐式模型，因而有它的缺陷性。
Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.
检验结果表明，该模型在预测精度、实用价值和鲁棒性方面都优于传统的统计模型、神经网络模型和决策树模型。
Empirical results show that genetic programming model is more advantageous than traditional statistical models, neural network models and decision tree models in prediction accuracy and robustness.
提出了一种基于统计理论、信息融合及神经网络的容差模拟电路故障诊断方法。
Based on statistics theory, data fusion and neural network, a new fault diagnosis method for analog circuits with tolerance is proposed.
盒维数的简单统计结果可以作为PQ神经网络分类器的输入特征量。
After simple statistics, the dimension can act as the input vector of ANN for PQ classification.
介绍前向人工神经网络模型，并与传统的统计学线性模型进行比较。
The author introduces the forward manual nerve net model and makes a comparison with the linear model of traditional statistics.
根据各个分块的统计特性，利用神经网络来确定的各个分块的量化步长，将水印嵌入到各个分块的奇异值。
The quantization step is adjusted through the neural network according to the statistics of the blocks, and then the watermark is embedded on the singular value of the blocks.
本文提出了一个适用于统计模式识别任务的阶层式前馈神经网络模型。
A hierarchical feedforward neural network model particularly suited to practical statistical pattern recognition tasks is proposed in this paper.
与统计分析和神经网络相比，基于结构风险最小的支持向量机有更好的分类性能。
Compared with multivariate statistics and artificial neural networks, support vector machine based on structure risk minimization has better classification performance.
应用人工神经网络讨论了统计特征抽取的原理，提出了相应的抽取方法。
This paper presents the discussion on the principle of statistical feature extraction, and a method of statistical feature extraction using artificial neural network.
该模型由基于规则的检测模块、神经网络组件、统计分析处理模块三个主要模块组成。
The model consists of three parts: rule based module, neural network module, and statistic analysis module.
介绍了用于短期交通流预测的两大类模型：统计预测算法和人工神经网络模型。
A large number of techniques have been applied into short-term traffic flow prediction, which can be classified into two groups: statistical models and artificial neural network model.
支持向量机是一种基于统计学习理论的机器学习方法，它解决了神经网络中存在的一系列问题。
Support Vector Machine(SVM) is a machine learning method based on Statistical Learning Theory. It can solve a series of issues of Neural Networks.
采用信号四阶和六阶统计量提取信号特征，使用新设计的误差函数训练RBF神经网络，使得识别的效率和正确度得到了明显的改善。
The forth-order and sixth-order cumulants of received signal are adopted for features extraction while RBF neural networks with a new designed training cost function being used for classifier.
并且与图像分类中统计方法的经典算法贝叶斯分类方法做了比较，结果发现，神经网络分类方法的分类效果要优于贝叶斯方法。
Comparing with Bayes method-the classical algorithm, we conclude that the neural network is better than Bayes method. This paper gives all the procedures of SAR image classification.
可见，应用人工神经网络模拟区域贫困化简便、实用，避免了传统的单纯依靠统计数据进行贫困化研究的做法，是一种可行的方法与技术途径。
The results also indicate that application of BP neural network to simulating regional poverty is convenient, precise and feasible, which can be an alternative approach to simulating regional poverty.
双螺旋问题不仅使统计方法受到挑战，更使人们对一般前向多层神经网络的能力提出疑问。
Not only does the two spiral problem give a challenge to the statistic methods again, but also brings a doubt about the abilities of the general feedforward multi layered LBF neural networks.
对于一个经诊断为混沌的统计量序列，应用神经网络建立模型，短期预测混沌序列。
Short term predictions of chaotic series are realised with neural network model, after diagnosing the time series as chaotic statistic series.
利用高阶统计量模糊神经网络方法对液压系统故障进行诊断，解决低信噪比故障特征信号下的故障诊断问题。
A method to diagnose the fault of the hydraulic system based on the high order cumulant fuzzy neural network method is presented.
评述了灰色预测方法，概率统计方法，人工神经网络方法和可靠度函数分析四种国内外正在研究和使用的方法。
A review is made of the four methods being studied and used in China and other countries: gray prediction, probabilistic statistics, artificial nerve network, and functional analysis of reliability.
在人工智能领域，神经网络是指通过将专门的计算设备连接成一个网络，模拟生物神经元，让使它们可以学习数据中潜在统计。
In artificial intelligence, a neural network simulates biological neurons by connecting specialized computing devices into a network, which allow them to learn the underlying statistics of the data.
BP神经网络的预测精度高于线性统计模型。
The accuracy of prediction of BP neural networks model is higher than that of factor analysis.
将人工神经网络（ANN）、广义猫映射及概率统计等知识相结合构造了一种图像空间域水印算法。
The paper, by adopting jointly Artificial Neural Network (ANN), general Amold mapping, and statistical methods, intends to formulate an algorithm based on image spatial domain watermark.
我们所使用的统计学工具包括神经网络备选模型的条件数分析，假设检验，交叉验证等。
The tools we consider are the analysis of the numerical conditioning of the neural network candidates, statistical hypothesis tests, cross validation, and so on.
我们所使用的统计学工具包括神经网络备选模型的条件数分析，假设检验，交叉验证等。
The tools we consider are the analysis of the numerical conditioning of the neural network candidates, statistical hypothesis tests, cross validation, and so on.
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