有许多种方法可以让你融入一门外语，并加快学习速度。
There are many ways to get immersed in the language and learn faster.
传统的强化学习存在收敛速度慢等问题，结合先验知识预置某些偏向可以加快学习速度。
To accelerate the learning speed, bias information is incorporated to boost learning process with priori knowledge.
由于模式常可解决常见问题，正确的模式可以便于用户对界面的熟悉并加快他们的学习速度。
Because patterns often solve common problems, the right pattern can facilitate the user's familiarity with an interface and increase the speed at which they learn it.
在大约十八个月大的时候，他们学习单词的速度加快。
Around eighteen months of age, they start learning words faster.
本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
了解目标语的文化背景也是很重要的，这样就可以大大加快你语言学习的速度。
It is also important to know the cultural background of the target language, so your language learning can be greatly accelerated.
那么，这是一个很有趣的问题，因为如果你可以加快自己的学习的速度，你就可以花更少时间在学校里。
Now, this is an interesting question because if you speed up learning you can spend less time at school.
我思考了一个问题很多很多年，就是：你怎样才能加快自己学习的速度？
Well I've had a question in my mind for many, many years and that is: how can you speed up learning?
我们想加快学习的速度。
引入学习率来加快BP神经网络的训练速度。
The introduction study rate speeds up the BP neural network the training speed.
避开专家们所走的弯路能加快你学习新技能的速度。
Finding out what NOT to do from the expert will fast-track your learning of a new skill.
博客，改变了国民获取知识的方式，降低了学习成本，增加了内容的选择空间，加快了信息的分享速度。
Blog, has changed the way people access to knowledge, to reduce the cost of the study, an increase of the contents of the options to accelerate the speed of information sharing.
模拟结果表明利用该算法训练的模糊层次神经网络具有较好的非逻辑归纳能力和特征抽取能力，并且学习速度也大大加快。
The simulation result is that the Fuzzy forward neural networks which is trained by this algorithm have good non-logic generalization and feature extraction ability, as well as fast learning speed.
使用自适应学习率的算法调整网络的权值，加快了网络的学习速度。
Using an algorithms of adaptive learning rates adjust the network's weight for quickening learning rates.
甚至可在学习的过程中加快思考速度。
在将人工进化引入制造系统的集体努力过程中，要加快物体进化的速度，其中一个办法就是在这盆进化汤里加入学习。
In the collective effort to introduce artificial evolution into manufactured systems, one way to accelerate the speed at which things evolve is to add learning to the soup.
在神经网络自学习过程中，引入了自适应学习速率和误差批处理法，加快了学习速度。
In the training process, the adaptive learning rate and error batch-mode process are introduced to accelerate the training rate.
可以这样说，学习型组织是由信息社会、知识经济时代催生的，随着科技的飞速发展，知识老化速度也因此大大加快。
We can say, the Learning Organization was born by the requirement of the information society and the Intellectual Time, to cope with the accelerated aging of knowledge.
随着知识更新速度的加快，终身学习日益成为人们普遍形成的观念。
With the acceleration of knowledge updating, life-learning has become a common conception.
知识经济社会，知识更新速度的加快，学习什么，怎样学习？成为困惑人们的主要问题。
In the society of knowledge economy, with the speed of the replacement of the knowledge, what to leam and how to learn becomes a main frustrating problem.
这种方法可以削减学习哈尔滨工程大学博士学位论文单元的冗余状态信息，降低学习空间的组合强度，加快群体强化学习算法的学习速度。
The new algorithm can cut down the redundant state information, so that the composition intensity of learning space is decreased and the convergence of the learning course is accelerated.
学习实例结果表明，按照这一方法不但可以获得高几率的优秀初始参数，而且能大大加快小波网络的后续学习速度。
The training example shows that super initial parameters can be obtained with high probability by this method and, as a result, the network' s training speed can be accelerated very quickly.
在神经网络自学习过程中，引入了自适应学习速率和动量法，加快了网络的收敛速度，提高了网络的辨识精度。
During the self learning process, the adaptive learning rate and momentum gene are introduced to accelerate the rate of convergence and advance the identify accuracy.
RBF神经网络采用离线学习在线修正权值和阈值，为加快收敛速度，应用带惯性项的梯度下降法。
RBF neural network adopts the off-line training and the on-line adaptation of weight and threshold value. In order to speed up the convergence, the grads descent method with inertia item was used.
采用网络分解技术，将一个复杂的大网络分解为多个简单的小网络，从而加快了ANN的学习收敛速度。
A decomposition technique is used to divide the complicated network of large scale into several simple ones, which can obtain a better ability of convergence.
采用网络分解技术，将一个复杂的大网络分解为多个简单的小网络，从而加快了ANN的学习收敛速度。
A decomposition technique is used to divide the complicated network of large scale into several simple ones, which can obtain a better ability of convergence.
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