卡内尔瓦的记忆算法能做一些可媲美于人类思维的不可思议的事情。
Kanerva's memory algorithm could do several marvelous things that parallel what our own minds can do.
在anki的网站上，关于为什么使用anki的条目中，anki的设计者写到“一个朋友写了一个很好功能的记忆复述算法并且推荐给我”。
On Why Anki? on the Anki website, the creator notes that: "A friend had written a pretty functional spaced-repetition algorithm and recommended it to me."
同样，对于机器学习算法，一个通常的问题是过适合(原文为over -fitting，译者注)数据，以及主要记忆训练集，而不是学习过多的一般分类技术。
Similarly, with machine learning algorithms, a common problem is over-fitting the data and essentially memorizing the training set rather than learning a more general classification technique.
一方面，你不得不信任这个算法，另一方面，如果你不信任这个算法，你为什么还使用记忆重复软件？
On the one hand, you have to trust the algorithm; on the other hand, if you don't trust the algorithm, why are you using spaced repetition software?
虽然，能有很多自己的选择的感觉很好，但是记忆重复软件的优点就是由它的算法来控制记忆的时间表。
While it's nice to have lots of options, the point of spaced repetition software is to let the algorithm handle the scheduling.
我们相信它要比卡罗尔的心算法更简单，因为我们的方法只需要一点点除法和记忆。
We believe that our method is easier to perform mentally than Carroll's, because our method requires fewer divisions and memorizations.
到目前为止，众多有关机器学习的文章中一个重要的主题是利用算法对训练数据进行总结归纳，而不是简单的记忆。
So far, a major theme in these machine learning articles has been having algorithms generalize from the training data rather than simply memorizing it.
如果使用的算法有足够强的记忆力，但这显然是“特例”，不适合一般的原则，因此会出现问题。
This can lead to problems if the algorithm used is powerful enough to memorize even the apparently "special cases" that don't fit the more general principles.
此外，程序员们也提出了很多算法和技巧来减少节点数目，比如阿尔法 贝塔剪枝算法（Alpha-Beta pruning），Negascout搜索算法以及MTD（全称是：Memory enhanced Test Driver，即记忆增强测试驱动，译者注）方法。
In addition, programmers have come up with all sorts of algorithms and tricks such as Alpha-Beta pruning, Negascout, and MTD(f) in order to lessen the number of nodes the computer must examine.
将二层规划目标简化为分段函数，提出基于记忆的改进克隆算法。
A simplified objective function and a modified clonal algorithm (CLONALG) based on memory are proposed.
算法中采用的记忆指导搜索策略重点搜索了各记忆段的局部最优值，避免了全局搜索的盲目性；
The adoption of remembrance-guided search method emphasizes local optimum value in each remembrance segment, which avoids the blindness of global search.
算法的主要操作算子包括超变异、正选择、记忆细胞产生和抗体相似性抑制。
The main operators of the algorithm included hyper mutation, positive selection to produce memory cells and similar cell suppression.
算法的主要算子包括正选择、记忆细胞产生、超变异和抗体相似性抑制。
The main operators of the algorithm include positive selection, memory cells producing, hyper-mutation and similar antibodies suppression.
算法的主要步骤有超变异、选择、记忆和相似性抑制。
The main steps of the algorithm include hyper-mutation, selection, memory and similarity suppression.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
基于神经网络自联想记忆功能，提出了一种新的数字图像水印算法。
A novel digital image watermarking algorithm based on the association memory ability of neural network is proposed in this paper.
构建了基于ISODATA算法的有限记忆关联模型，利用有限步的历史航迹状态数据，有效地解决了目标密集环境下的误关联问题。
To solve the problem of false association in the presence of multiple targets, historical track data are utilized, and a limited memory association model with ISODATA algorithm is built.
本文介绍在单词记忆不准确的情况下，如何查找词典以及如何只键入单词中的几个字母快速录入单词的算法。
This paper presents a method on dictionary look-up and fast input word by subset letters in a word.
提出一种广义人工脑感知联想记忆模型，给出它的实现算法。
A perceptive and associative memory model for generalized artificial brain and the algorithm of its realization are proposed.
首先介绍了双向联想记忆的模型和算法，接着给出一个应用例子。
The algorithm of bidirectional associative memory and its bidirectional stability are included, an example is given to illustrate the process.
文中用作者提出的通用前馈网络和排序学习算法，提出了一种设计具有期望容错域的前向掩蔽联想记忆模型的方法。
A design method of ahead masking associative memory model with expecting fault-tolerant field is proposed by use of the general feed-forward network and sequential learning algorithm given by authors.
算法主要包括超变异、正选择、记忆抗体产生、优育抗体产生、细胞相似抑制、整理算子。
The main operators of the algorithm included hyper-mutation, positive selection to produce memory cells and excellent sub-population, similar cell suppression, reorganization operator.
其中智能地判断环境背光的强弱是系统的关键，对此提出了记忆偏差算法的智能判断法。
In which, judge intelligently that environment is strong and weak as being shaded to be systematic key, have put forward the intelligent law of judging of memory deviation algorithm for this.
使用限定记忆部分最小二乘算法在线滚动建立平均粒径的软测量模型。
The partial least squares algorithm with limited memory is applied to model the soft senor on-line to predict the average particle size for the PTA oxidation process.
并采用记忆单元机制，增强了算法局部搜索的能力，提高了其计算速度；
The memory unit mechanism is proposed to strengthen the local search ability of the algorithm and its calculation speed has been improved.
本文提出了一种异联想记忆模型的优化学习算法。
This paper presents an optimized learning strategy for a bidirectional associative memory.
本文提出了一种异联想记忆模型的优化学习算法。
This paper presents an optimized learning strategy for a bidirectional associative memory.
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