提出了一种新的神经树模型来进行时间序列预测。
A new neural tree for modeling the time-series forecasting is proposed in the paper.
柔性神经树模型的结构和参数优化分别由概率增强式程序进化和模拟退火算法完成。
The structure and parameters of the flexible neural tree model are optimized by probabilistic incremental program evolution and simulation annealing, respectively.
本文利用神经树原理，从工序系统的需求出发，就怎样标准化项目工序结构的解析方法、解析原则做了运用研究。
In This paper, using nerve tree, study the method and principle normalization of breakdown, from needs of work systems.
所选研究样本中，神经树的预测效率达100％，结果表明，该方法性能良好，可望成为药物构效关系分析的一种有效的辅助手段。
The results indicated that the performance of the neural tree method is effective, and therefore it might referred as an assistant technique for analysis of structure-activity relationship of drugs.
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.
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.
本文提出一个有效的算法，先构造决策树，然后将构造的决策树转换为神经网。
This paper proposes an efficient algorithm for constructing decision tree and then mapping it to neural net.
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.
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.
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.
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.
在椎间孔外区，后支主干及其分支与出口腰神经前支的关系密切，血管呈“树叉”状从外侧将神经包绕。
In the out space of the foramens, the posterior branches located laterally to the exiting nerve and formed an "arbor" around it.
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.
针对虚拟设计中的方案树搜索树问题提出一种新的优化模型，并结合人工神经网络技术加以解决。
This paper presents an optimization model of virtual design for project search tree problem, which can be solved by using the characteristic artificial neural net.
其次，在解决工艺参数优化的问题中，本文提出了一种正演的方法，即结合使用决策树分类器以及人工神经网络进行综合分析的方法来完成。
Secondly, in solving the problem that the craft parameter is optimized, this paper has put forward a method to perform, which using decision tree and ANN carry on comprehensive.
介绍如何用神经网络进行动作设计、用遗传算法进行避障、用决策树进行决策的快速产生。
The paper gives the methods of the action design using ANN, avoiding the obstacles using EA and making decision using decision-tree.
介绍了一种新的非参数回归RBF神经网络学习算法，该算法将R BF神经网络与回归树结合起来使用。
A new nonparametric regression learning algorithm for RBF neural network is presented. It is a novel method involving a combination between regression trees and RBF networks.
实际的生物学数据实验表明该方法性能优于单个神经网络，最近邻法和决策树。
Real biological data experiments have shown that this classification method outperformed than single neural networks, 1-nearest-neighbor classifiers and decision trees.
并采用了基于可靠性理论的故障树思想对设备故障情况进行分析和判断，在设备状态检修的方式方法上采用了BP神经网络进行设备的故障状态诊断。
And based on the reliability theory, we use the fault tree to analyse and determine the equipment condition, and use BP neural network to diagnose equipment in condition-based maintenance.
应用FAGLU荧光组化技术观察了树鼩脑干儿茶酚胺神经元(简称CA神经元)的位置分布及其形态特征。
FAGLU-induced histofluorescence method was used to determine locations of catecholamine-containing neurons (ca neurons) in the brain stem of Tree Shrew (Tupaia).
应用FAGLU荧光组化技术观察了树鼩脑干儿茶酚胺神经元(简称CA神经元)的位置分布及其形态特征。
FAGLU-induced histofluorescence method was used to determine locations of catecholamine-containing neurons (ca neurons) in the brain stem of Tree Shrew (Tupaia).
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