GA is applied in a very big range, such as machine learning, music composing and industrial control.
GA的应用范围非常广泛，如机器学习、音乐作曲、工业控制、图像的恢复和识别等。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
Intrusion detection techniques based on machine learning is one of the key technologies to be applied to intelligent intrusion detection under the circumstance of large scale and bandwidth network.
基于机器学习的入侵检测方法是大规模、高带宽网络环境下实现对网络攻击智能检测的关键技术之一。
Feature selection has abroad application in machine learning and data mining area, it is always applied as a primary pre-processing step.
属性选择通常作为一个主要的预处理步骤，在机器学习和数据挖掘领域有着广泛的应用。
Now, it's widely applied in the fields of combination optimizing, system controlling, machine learning, and data warehouse and so on, and has got plentiful fruits.
目前，该算法已广泛应用于组合优化、系统控制、机器学习和数据挖掘等领域，并取得了许多令人瞩目的成果。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
A learning machine based on support vector machine is proposed in this paper, which is applied to single-chip smart sensor system.
提出一种基于支持向量机回归的学习机，并将其应用于单片机智能传感器系统中。
Q-learning was applied to resolution of the adaptive dispatching rule selection problem under dynamic single-machine scheduling environment.
提出了一种利用Q-学习解决动态单机调度环境下的自适应调度规则选择的方法。
This paper describes an approach where machine learning clustering techniques are applied to improve the matching process.
文中描述了一个应用机器学习聚类技术改善匹配过程的方法。
The system performance has been greatly improved when the Log-linear and Rank-SVM models in machine learning are applied to fuse a few systems to get the last results list.
为了提高系统性能，应用机器学习中的Log -linear和Rank - SVM模型提出了基于系统融合的结果链表二次调序方法。
The features of GA have been widely used applied in territories such as optimization, machine learning, treatment of signal, self-adoption control, artificial existence and so on.
遗传算法的这些性质，已被人门广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。
Additionally, machine learning methods are also applied to massive-sample data mining field.
除此之外，机器学习的理论方法还被用于大数据集的数据挖掘领域。
Machine learning methods, including Support Vector Machines and Artificial Neural Network, are applied to the development of the classification models for the selective COX-2 inhibitors in this paper.
本文用支持矢量学习机和神经网络两种机器学习方法建立选择性环氧化酶-2抑制剂的活性预测模型，以期为选择性环氧化酶-2抑制剂药物的合成提供先导化合物。
Based on the infrared feature database of the scene, a machine learning algorithm is applied to realize the IR scene real-time simulation.
为实现红外场景实时仿真，以场景的红外特性数据库为基础，将机器学习算法引入到仿真之中。
Clustering algorithm is an unsupervised machine learning method well applied in intrusion detection.
聚类算法是一种无监督分类方法，能够很好地用于入侵检测。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
The support vector machine based on statistical learning theory is applied to establish a time series model for simulating the monitoring data of dam seepage flow.
大坝渗流监测分析是大坝安全监控的重要内容，预测分析的难点之一在于渗流监测数据往往具有复杂的非线性特点。
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