许多机器人都配备了高科技传感器和复杂的学习算法，避免在与人类一起工作时伤害到人类。
Many robots are equipped with high-tech sensors and complex learning algorithms to avoid injuring humans as they work side by side.
学习算法分为几个不同的类别。
The types of learning algorithms fall along several classifications.
学习是一种重要的强化学习算法。
动态神经网络的权重修正律采用在线学习算法。
然而，学习算法却可以在那些难以学习的环境中赋予其洞察力。
Nevertheless, learning algorithms can give insight into the relative difficulty of learning in different environments.
学习算法在最速下降法的基础上给出，并加以改进。
The algorithm of studying bases on the foundation of the descent method most rapidly, and was improved.
ID 3算法是最基本的决策树学习算法，有很广的应用。
ID3 algorithm is the most basic algorithm in the decision tree learning, and has a wide application.
这就意味着，任何学习算法都需要一些“倾向性”，用来区分可能的结果。
This means that any learning algorithm requires some kind of "bias" to distinguish between these plausible outcomes.
该文利用求解最优费用函数的方法给出了一种新的Q学习算法。
This paper is concerned with the problem of a novel Q-learning algorithm for solving optimal cost function.
提出一种准对角递归神经网络(QDRNN)结构及学习算法。
A structure and training algorithm for quasi-diagonal recurrent neural network (QDRNN) is presented.
提出了一个基于模糊集理论的新的神经网络结构及其学习算法。
This paper presents a novel neural network architecture based on fuzzy set theory, FIBP.
该系统具有神经网络的结构和学习算法，称模糊神经网络FNN。
This system, possesses the structure of neural net and learning algorithm, addressed as fuzzy neural net FNN.
其次也讨论了如何获取提示信息和如何将提示信息并入学习算法。
Next, it is discussed how to acquire pointing out information and how to incorporate pointing out informations into the learning algorithm.
支持向量机（SVM）是根据统计理论提出的一种新的学习算法。
The support vector machine(SVM) is a new learning technique based on the statistical learning theory.
给出了该控制方法的学习算法及初始振动模糊控制器的产生方法。
The algorithm of this kind of control method and the selection method of initial vibration fuzzy controller are given.
机器学习算法正在被开发出来，它允许机器人和计算机进行自主学习。
Machine learning algorithms are being developed that allow robots and computers to learn autonomously.
该平台采用先进的计算机视觉和深入学习算法来了解以及增强一个场景。
The platform USES sophisticated computer vision and deep learning to understand and then augment a scene.
给出了粗糙神经网络的拓朴结构和学习算法以及粗糙神经网络的逼近定理。
The topologic structure and learning algorithm of the rough neural network are given, and the approximation theorem of the rough neural network is presented.
请注意这里提到的一个问题：在分类问题中，学习算法的目标是把给定输入中的错误最小化。
Notice something important here: in the classification problem, the goal of the learning algorithm is to minimize the error with respect to the given inputs.
系统将会使用机械视觉、感应器和深度学习算法来跟踪记录顾客从货架上选取的商品。
It will use computer vision, sensors and deep learning algorithms to keep track of what customers are picking up off the shelves.
但是，这一新途径是首次通过机器学习算法自动分析案件文本，来预测法庭判决结果。
But the new method is the first to predict the outcomes of court cases by automatically analysing case text using a machine learning algorithm.
一个简单的机器学习算法，朴素贝叶斯算法可以把正规邮件从垃圾邮件里面分离出来。
A simple machine learning algorithm called naive Bayes can separate legitimate email from spam email.
如何找到一种更加行之有效的RBF神经网络学习算法具有重要的理论意义和应用价值。
It has important theoretical significance and application value how to find an effective learning algorithm of RBF neural networks.
特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
针对高精度转台恒速工作状态时存在的位置相关周期非线性扰动，提出了一种闭环迭代学习算法。
A current cycle iterative learning algorism is presented for the periodic position relevant nonlinear disturbance in the constant speed state of turntable.
然后通过梯度下降法和最小二乘法相结合的混合学习算法，对控制器参数进行调整以提高其控制精度。
Then some parameters of the controller are modulated by hybrid learning algorithm of ladder descent (LD) and least square error (LSE) so as to attain better control precision.
场景不同，需要的检测精度不同，企业用户可以投入的安全成本不同，选用的机器学习算法也不相同。
The scene is different, the detection accuracy is different, the user can put the safety cost is different, the machine learning algorithm is not the same.
场景不同，需要的检测精度不同，企业用户可以投入的安全成本不同，选用的机器学习算法也不相同。
The scene is different, the detection accuracy is different, the user can put the safety cost is different, the machine learning algorithm is not the same.
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