这种学习可以使用神经网络或者支持向量机，不过用决策树也可以实现类似的功能。
This sort of learning could take place with neural networks or support vector machines, but another approach is to use decision trees.
监督学习是训练神经网络和决策树的最常见技术。
Supervised learning is the most common technique for training neural networks and decision trees.
这种类型的学习通常交给神经网络来完成，虽然很难想象，但用决策树来完成这类问题也很简单。
This type of learning could probably be carried out with neural networks, though it is hard to imagine that the problem is simple enough for decision trees.
通俗地讲就是指计算机通过深度神经网络，模拟人脑的机制来进行学习、判断和决策。
Generally speaking, it is the way a computer imitates the human brain to learn, judge and make decisions using deep neural networks.
提出了神经网络在决策中的一种模糊求解方法。
It put forward a fuzzy solution of neural network in the decision.
该方法与人工分类、神经网络、决策树等方法比较，其测试误差低，测试速度高。
Compared with artificial classification, nerve network, and decision tree, its test error is low and the speed is high.
提出一种基于云理论和神经网络构造决策树的文本分类方法。
This paper proposes a text classification method based on Cloud Theory and neural network structure decision tree.
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.
介绍了避障行为的决策、基于神经网络的机器人在避障过程中的运动控制等。
This article presents the decision of obstacle avoidance behavior, robot moving control based on neural network during obstacle avoidance process.
当前神经网络的主要应用领域有：模式识别、自适应控制、市场分析、决策优化、预测分析、知识处理等。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
本文研究了基于粗集理论与神经网络相结合的有效智能决策方法。
This paper has studied an effective intelligent decision method based on rough set theory and neural network.
为了解决决传统专家系统的知识获取瓶颈问题，采用了基于神经网络的智能评价决策专家系统(NIEDES)。
In order to solve the bottle neck problem in traditional expert systems, a Neural Network Based Intelligent Evaluation and Decision expert system (NIEDES) was used.
应用神经网络预测结构响应可以解决主动控制中的时滞问题，为控制决策提供依据。
Applying neural network to predict structural response may solve the problem of time lag in active control and offer basis for controlling decision.
运用云神经网络学习变量间的云映射关系，从中生成云决策树。
It adopts cloud neural network to study the cloud mapping relationship between variables, so as to generate cloud decision tree.
在这个过程中，应用了决策树归纳学习的优化原则，使得生成的决策树能最简洁、准确地描述神经网络学到的知识。
In the process of constructing tree, three optimization principles are adopted to concisely and accurately describe the knowledge that the networks have learned.
为了对环境质量进行综合评价，运用误差反向传播算法的人工神经网络方法建立了环境质量评价的B -P决策模型。
In order to evaluate environmental quality, this paper proposed the B-P decision model for environmental quality by using artificial neural network method.
同时，粗糙集对于决策表噪声比较敏感，BP神经网络可以克服这个缺点。
In addition, rough sets is high sensitivity to the noise in the decision table, this weakness can be counterbalance by BP neural network.
主要研究人工神经网络在煤矿安全决策支持系统中的应用。
This paper mainly studied the application of artificial neural network (ANN) in the support system for safety decision of coal mine.
通过对齿轮类零件CAPP系统的研究，将神经网络应用于齿轮类零件的CAPP系统的工艺决策中。
Upon research on a CAPP system dedicated to gears and similar parts, a neural network is used in the decision making on the appropriate process route of gear CAPP system.
提出一种基于人工神经网络的决策集影响图拓扑层自动生成新方法。
This paper puts forwards a new method based on artificial neural networks used for formulating topological layer of influence diagrams in decision class analysis.
现在我已经做了对的监督和无监督学习算法，如决策树，一些基本的阅读聚类，神经网络等。
Now I have done some basic reading on supervised and unsupervised learning algorithms such as decision trees, clustering, neural networks... etc.
应用结果表明，人工神经网络适合于矿业复杂问题的决策。
The results of its application showed that artificial neural network can be suited to make a strategic decision for the complicated problems of mineral industry.
主要采用强化学习的方法对AUV进行控制和决策，综合Q学习算法、BP神经网络和人工势场法对AUV进行避碰规划。
The reinforcement learning is adopted to control and decision for AUV, and Q-learning, BP neural net, artificial potential is integrated to avoidance planning for AUV.
把影像的空间信息融入分类决策，提出了一种基于证据理论与神经网络的遥感影像分类方法。
The spatial information of the image and evidence theory is applied to classification of remote sensing image based on neural networks.
该文根据CH I值原理、基于R BF神经网络和决策树原理，提出了一种文本分类的新方法。
This paper presents a new method of text categorization based on the CHI value theory, RBF Neural Network and decision tree.
给出一种基于BP神经网络的股票市场建模、预测及决策方法。
This paper presents a method based on BP neural network for a stock market modeling, forecasting and deciding.
给出一种基于BP神经网络的股票市场建模、预测及决策方法。
This paper presents a method based on BP neural network for a stock market modeling, forecasting and deciding.
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