研究了采用机器学习和模式识别发现潜在客户的实现方法。
This paper focuses on how to apply machine learning and model recognizing to find potential customers.
因此，采用机器学习的方法来模拟人类的这种行为是一种有效的技术方法。
Therefore, this behavior of mimicking the human ability by machine learning is an effective technique means.
试验运行表明，采用机器学习后的专家系统不仅能提高智能水平，而且能扩大实用范围。
The experimental result shows that machine learning not only obviously improves the intelligence, but also expands the application range of an expert system.
其次，采用机器学习技术，包括文本分类、聚类，文本概念抽取，从概念层次理解文本信息；
Secondly, the system can distinguish the domain of the web page and understand the document at the concept level by text classification, clustering and concept extraction based machine learning.
为此我们对蛋白质序列进行了结构域的划分和映射，并采用机器学习的方法提取出结构域之间的相互作用。
We then used a machine learning approach to deduce a protein interaction map that is most consistent with the underlying domain information.
可以采用一些机器学习方法来解决问题。
Several approaches to machine learning are used to solve problems.
这款安卓系统应用程序通过使用手机的机器学习和图像识别技术，在机主打电话时，随时准备采用手机发出警报来提醒通话者即将到来的危险。
Their Android app uses machine learning and image recognition that takes place right on your phone to alert you when you’re chatting your way right into an oncoming smash-up.
对于多类蛋白质同源寡聚体分类，基于相同的机器学习方法（如支持向量机） ，采用“一对一”策略比“一对多”效果好。
Using "all-versus-all" policy is better than "one-versus-rest" policy for classifying homo-oligomers based on the same machine learning method (such as support vector machine).
采用基于依存分析改进贝叶斯网络的无指导的机器学习方法对汉语大规模真实文本进行词义消歧实验。
The Word Sense Disambiguation (WSD) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model.
文中采用计算机自适应的最小二乘优化方法实现模糊诊断系统隶属度函数的机器自学习功能。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
针对机器人动力学模型的不确定性和负载扰动，提出了一种采用神经网络的机器人迭代学习控制方法。
Aiming at dynamic model uncertainties and load disturbances of robot manipulators, an iterative learning control scheme using neural networks is presented.
讨论了学习社会行为的可行性和必要性，并采用强化学习方法，给出了多机器人传接合作搬运的详细算法实现。
The possibility and necessity of learning social behavior were discussed, and applying reinforcement learning and the above idea to multi-agent's learning relay cooperation in convey.
文章采用了机器学习技术，从提交更精确地反映用户兴趣的检索串入手，研究如何提高搜索引擎在准率。
This paper USES methods of machine learning to enhance the exactness of search engine. It aims to submit a character string which is similar to users "interesting."
根据机器人的运动模型构造了模糊控制器，采用变长度编码方法对规则编码，减少了染色体的尺寸和复杂度，提高了学习速度。
The fuzzy controller is constructed based on the kinematic model of the robot. Messy coding method is used to reduce the size and complexity of chromosome and increase the learning speed.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
而在人们设计能够学习和进化的人工智能时，甚至可以采用取代最狭隘的命令，如艾萨克·阿西莫夫的“机器人三定律”的行为准则。
Even learning and evolving A. I. s could be designed with behavioral guidelines that would supersede their narrowest imperatives, ala Isaac Asimov's Three Laws of Robotics.
而在人们设计能够学习和进化的人工智能时，甚至可以采用取代最狭隘的命令，如艾萨克·阿西莫夫的“机器人三定律”的行为准则。
Even learning and evolving A. I. s could be designed with behavioral guidelines that would supersede their narrowest imperatives, ala Isaac Asimov's Three Laws of Robotics.
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