1、

The Forest Maturity Forecast Based on Bayesian Algorithm

基于贝叶斯算法的森林成熟预测研究

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2、

Then, achieved Average algorithm and Bayesian algorithm through the programming of FPGA and DSP based on hardware platform.

以硬件平台为基础,通过对FPGA和DSP的编程,实现了均值算法和贝叶斯算法。

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3、

Application of Clustering Analysis in Bayesian Method

聚类思想在贝叶斯算法中的应用

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4、

Approximation model for reliability analysis based on GA-BP Bayesian algorithm

基于GA-BP贝叶斯算法的可靠性分析近似模型

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5、

Based on the theory of OFDM system channel estimation, two novel algorithms, which are Orthogonal Matching Pursuit with Replacement ( OMPR) and Bayesian algorithm, have been applied on channel estimation.

其次在OFDM系统信道估计原理的支撑下,本文采用了替代正交匹配追踪算法(OMPR)和贝叶斯算法(Bayesian)的压缩感知信道估计方法。

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6、

Application of an Improved Nave Bayesian Algorithm to Intrusion Detection

一种改进的朴素贝叶斯算法在入侵检测中的应用

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7、

Objective To apply naive Bayesian algorithm in prognosis prediction of primary liver cancer and to predict the survival expectation of patients after transcatheter arterial chemoembolization ( TACE).

目的研究贝叶斯算法在原发性肝癌预后预测中的应用,预测病人动脉化疗栓塞术(TACE)后生存期分类。

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8、

Spam: the thesis research the spam filtering algorithm based on Bayesian.

垃圾邮件处理:研究了基于贝叶斯算法的垃圾邮件过滤。

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9、

An improvement program of application of Bayesian algorithm to anti-spam

贝叶斯算法在反垃圾邮件应用中的改进方案

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10、

The hierarchical bayesian algorithm treated the numbers of radial function, model parameters, and noise parameters as random variables that need to be estimated in the RBF neural networks.

分层贝叶斯算法把RBF神经网络模型中的径向基函数个数、模型参数、以及噪声参数都视为随机变量需要进行估计。

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11、

Improvement of Locally Weighted Naive Bayesian Algorithm based on Distance Measure

基于距离度量的局部加权朴素贝叶斯算法改进

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12、

Then an improved weighted Bayesian method was proposed.

在此基础上,利用加权的方法提出了一种改进的贝叶斯算法。

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13、

Superior Performance of Complex-Number Bayesian Algorithm for DOA High Resolution Estimation

DOA高分辨估计的两种贝叶斯算法的性能比较

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14、

Bayesian algorithm, we want to help.

贝叶斯算法,希望对大家有帮助。

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15、

We adopt a way of attribute selection based on word entropy, use vectors which are represented by word frequency, and deduce its corresponding Bayesian formula.

我们采用了基于词熵的特征项提取方法,并且使用特征项单词出现频率来表示向量,推导出相应的贝叶斯计算公式。

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16、

Secondly, the shape and structure parameters of the textile image are extracted as the feature vectors. Finally, the classification result is computed by the Bayesian formula.

先对织物图像的分类问题建立贝叶斯模型,再提取织物图像的形态结构参数作为特征向量,并计算出分类结果。

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17、

Through the model analysis, the results show that the load forecasting model containing the Bayesian algorithm has more excellent learning ability for complex load characteristics and new sample data.

通过模型对比分析,结果证明,包含贝叶斯算法的负荷预测模型对复杂的负荷特性和新样本数据有着更加出色的学习能力。

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18、

To overcome Bayesian algorithm's shortcomings of requiring the knowledge of halftone kernel and high computational complexity and memory buffer, an improved method via maximum a posteriori was proposed.

针对Bayesian算法以误差分散核为先验、时空复杂度高的缺点,提出一种逆半调改进算法。

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19、

Finally, taking ADRT as the application object, using the integrated inference technology of rule diagnosis and Bayesian Network diagnosis methods, we develop the intelligent fault diagnosis system.

最后,以自动门为应用对象,采用规则诊断与贝叶斯诊断集成推理技术,开发了自动门智能故障诊断系统。

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