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Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一,然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点,因此,本研究提出一个梯度预测搜寻法则(gradient forecasting search method, GFSM)来改善传统梯度法的缺点,用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性;而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素,传统统计为基础之预测方法的缺点是需要较大量的数据进行预测,因此计算复杂度高,灰色预测模型具有建模资料少且计算复杂度低等优点,然而灰色预测理论以连续之微分方程式为基础,并且透过一些数学上的假设与近似,将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测,这样的作法不尽合理,且缺乏数学理论上的完备性,因为在转换过程中已经造成建模上的误差,且建模过程仅考虑相邻的两个资料点关系,无法正确反应数列未来的变化趋势。

The hybrid and ensemble method is recently one of the most popular fields in the machine learning.

混合学习和集成学习是目前机器学习研究中的热点研究方法,倍受学者们的关注。

In addition, research on algorithms of data preprocessing is an important part in Machine Learning.

另外,机器学习前的数据预处理算法的研究也是机器学习算法研究的一个重要方面。

A hybrid algorithm of morphological rules and machine learning was presented to tackle the assignment of primary accent.

主重音的标注采用形态规则和机器学习相结合的标注算法;而次重音的标注完全通过机器学习算法来进行。

A hybrid algorithm of morphological rules and machine learning was presented to tackle the assignment of primary accent. And a machine learning algorithm was proposed to handle the assignment of secondary accent.

主重音的标注采用形态规则和机器学习相结合的标注算法;而次重音的标注完全通过机器学习算法来进行。

The automatic generated technique of inference rule base is studied from conception base to realize standardization and automation of knowledge base.

研究了归纳学习和指导学习相结合的集成式机器学习算法,实现了基于维修记录库和对专家启发式提问相结合的知识自动获取,大大提高FMS故障诊断专家系统的智能化程度。

The point of innovation is that the code description of a machine that learns, that acquires information form and about the environment, can be small compared with what the machine learns…When such a step occurred in the evolution of animal species, an essential limitation upon all previous evolution was removed: The self-reproducing molecule was no longer burdened with the organism's entire stock of information.

创新的要点是对机器学习的规则程序说明,即从环境中获得有关于环境的信息,它可以与机器学习到的东西做比较。当这样一个步骤发生在动物物种的进化过程中时,先前进化过程的一个重要限制就可以被解除:自我复制分子已不再背负着有机体的整个信息储存。

The book machine learning basic introduction only, from shallow to deep to explain a variety of machine learning algorithms, is a great book to use.

详细说明:本书介绍机器学习的基本只是,由浅到深讲解了各种机器学习算法,是一本非常使用的书。

Its properties of self-improving and online learning make reinforcement learning become one of most important machine learning methods.

摘要摘要强化学习通过试错与环境交互获得策略的改进,其自学习和在线学习的特点使其成为机器学习研究的一个重要分支。

In all kinds of machine learning approach, the conclude method is more suitable than the others to the fault diagnosis expert system. With the ability of incremental learning, it can deal with a new instance without relearning the entire example set.

首先,针对实现主动维修的油液分析系统中存在的知识获取,以及故障源挖掘的问题,结合机器学习方法,提出了一种机器学习方法在油液分析专家系统中的应用模型,并对模型中的关键部分作了简要概述。

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推荐网络例句

The absorption and distribution of chromium were studied in ryeusing nutrient culture technique and pot experiment.

采用不同浓度K2CrO4(0,0.4,0.8和1.2 mmol/L)的Hoagland营养液处理黑麦幼苗,测定铬在黑麦体内的亚细胞分布、铬化学形态及不同部位的积累。

By analyzing theory foundation of mathematical morphology in the digital image processing, researching morphology arithmetic of the binary Image, discussing two basic forms for the least structure element: dilation and erosion.

通过分析数学形态学在图像中的理论基础,研究二值图像的形态分析算法,探讨最小结构元素的两种基本形态:膨胀和腐蚀;分析了数学形态学复杂算法的基本原理,把数学形态学的部分并行处理理念引入到家实际应用中。

Have a good policy environment, real estate, secondary and tertiary markets can develop more rapidly and improved.

有一个良好的政策环境,房地产,二级和三级市场的发展更加迅速改善。