分类机

To precisely allocate the massive old Product Design Knowledge Document and construct the knowledge base of product design, the PDKD categorization method based on decision tree and Support Vector Machine was put forward.

为准确地定位大量旧的产品设计知识文档信息，构建产品设计知识库，提出了基于决策树和支持向量机的产品设计知识文档分类方法。

According to compare the results with decision tree, support vector machine, and RBF neural network, the neural network classifier with dynamic threshold has better forecasting accuracy, stability and generalization ability.

通过与决策树、支持向量机、RBF网络等方法的比较结果表明，基于动态闽值的神经网络分类器具有更好的预测精度、稳定性以及泛化能力。

This method doesn't require differentiable function, and has the advantage of faster convergent speed, the ability of optimization within global scope and the independence between eventual optimized paramaters and initial SVM paramaters.

该方法降低了对性能函数连续且可微的要求，收敛速度快，最终优化解与支持向量机的参数初始值无关。最后，通过仿真实验表明了该方法具有更高的分类和回归准确率。

Electrocorticogram is a kind of non-stationary signal. Feature extraction and classification are crucial for good ECoG based brain-computer interface.

皮层脑电图信号(electrocorticogram， ECoG)非平稳，如何提取有效的特征，设计恰当的分类器是ECoG脑－机接口研究的关键问题。

Feature extraction and classification are crucial for good electrocorticogram based brain-computer interface.

皮层脑电图脑-机接口（electrocorticogram based brain-computer interface， ECoG-BCI）研究的关键是提取良好的特征获得理想的分类精度。

Objective To investigate some methods on extraction and classification of electroencephalography signals during mental tasks for designing brain computer interfaces.

目的在基于思维作业的脑-机接口中，探讨如何提取脑电信号特征并对其进行准确有效地分类。

First of all, to talk about its structure, classification and development of a preliminary understanding of laser engraving machine characteristics.

首先谈一谈它的结构、分类和发展，初步了解镭射雕刻机的特点。

The similarity can be proved to be embedded into Euclidean space and support vector machine can be applied for classification and prediction.

在此基础上证明基于全序列比对的相似度可嵌入欧式空间，进而借助支持向量机进行分类预测。

Index factor set is looked as training set supporting vector machine, and the evaluation system based on one-against-one mode is built.

然后将量化后的指标因素集作为支持向量机的训练集，并采用一对一的分类策略建立了营销绩效的评价模型。

The foundations of support vector machines are introduced. Four mathematics models of support vector classifications including linearly hard margin SVM, linearly soft margin SVM, non- linearly hard margin SVM and non-linearly soft margin SVM are discussed.

摘 要：介绍了支持向量机的基本思想，依据是否引入核函数，是否具有惩罚因子，支持向量分类算法被分为线性分界面硬间隔、线性分界面软间隔、非线性分界面硬间隔和非线性分界面软间隔四类，并讨论了它们的数学模型。

By the time of its fall, most of the prisoners were writers who had written against the corruptions of the government.

到它被攻陷的时候，里面多数的犯人是写了反对政府贪污文章的作家。

The most obvious variation to ovum morphological character was that the color was changed from light green to sepiaceous in embryonic development, and all the ovums were almost hatched after 96h.

在胚胎发育过程中卵的形态特征最明显的变化是颜色从淡绿到深褐色，卵在发育96h后卵基本全部孵化。