learning algorithm的例句大全

For the training parameters α,β are vital to the performance of face detector, we present an amended Winnow learning algorithm.

这个人脸检测方法中，训练参数α、β对于检测器的性能起着至关重要的作用。因此，本文提出了一种修正的Winnow训练算法，这个算法在训练过程中动态计算训练参数α、β。

The Generalized PID Real Time Recurrent Learning Algorithm

广义PID实时递归学习算法

Artificial Intelligence technology which are currently applied in MMOG ( Massively Multiplayer Online Games) is simple. Reinforcement Learning algorithm can make game intelligence more complex.

目前，在MMOG（Massively Multiplayer Online Games）中应用的人工智能技术比较简单，强化学习算法可以实现更加复杂的游戏智能。

Reinforcement Learning Algorithm Based on Credit of Optimal State Transition

一种基于优化状态转换信任度的增强型学习算法

Further more, it is difficult to improve accuracy of model based on single network by adjusting the parameters and learning algorithm.

而且单个神经网络预测模型的准确率，仅仅依靠参数和算法的调整也难有较大的提高。

In this paper, a fast learning algorithm was proposed on the Oja's rule of unsupervised learning principle and delta rule of supervised learing principle The synaptic weights of the networks is initiated with them.

本文提出一种基于非监督学习的Oja规则和有监督学习的delta规则的快速学习算法.用改进后的结构和学习方法初始化前馈神经网络的权值；

The IF model which is simplified by H-H model is used. The lateral inhibition is simulated meanwhile the purpose of position tracking is achieved, and the tracking accuracy and speed have been increased because of the new learning algorithm.

运用H-H简化的模型在模拟侧抑制机制的同时实现位置跟踪，新的学习算法提高了跟踪精度和速度。

Estimation of a Superbound of Step Factor in the BPN Learning Algorithm

关于BP网络学习算法中步长上界的估计

To address the problem of multicomponent patterns that many researchers have forgotten to consider it in their classification systems, an adaptive boosting multi-label learning algorithm ( AdaBoost. MC) is developed based on decision trees, maximum a posteriori ( MAP) and the robust ranking principles.

为解决许多研究者在其分类系统中未予考虑的多成份模式问题，开发了一种基于决策树、最大后验（MAP）和鲁棒排序原则的自适应boosting多标记学习算法（AdaBoost.MC）。

Support vector machines ( SVM), a power machine learning algorithm, were applied to the self-learning of FLC.

采用学习能力强的支持向量机来实现FLC的自学习和在线优化。

Learning Algorithm Selection in Meta-Learning and the Effect of Correlation

元学习算法选择机制及关联对性能的影响

The self-organizing maps ( SOM) is an unsupervised learning algorithm, which is capable of self organization and visualization and has been used in many areas.

自组织映射（Self-Organizing Maps，SOM）算法是一种无导师学习方法，具有良好的自组织、可视化等特性，已经得到了广泛的应用和研究。

A Study of EM Learning Algorithm Based on Gaussian Mixture Model

基于高斯混合模型的EM学习算法

SCLA are soft competition schemes of the learning algorithms, in which the center vectors are trained based on the k means algorithm, and can remedy the problems of the dead node and the sensitivity to initial weight vectors that the latter algorithms have.

SCLA是RBF网络基于k均值方法训练中心向量的学习算法的软竞争格式，它可以克服后者对初始值敏感和死节点的问题。

It is one kind of off-line learning algorithm, needs very few information about the object to control, therefore, it has very good control effects with some complex objects that difficulty modeling.

它是一种离线学习算法，需要很少的关于被控对象的信息，因此对于一些难以建模的复杂对象具有很好的控制效果。

An Online Learning Algorithm of Support Vector Regression Based on Natural Gradient

基于自然梯度的支持向量回归在线算法

The paper first presents an objective model of task scheduling, and then based on the analysis of Q learning algorithm, the Markov decision process description of the scheduling problem is given.

首先建立任务调度问题的目标模型，在分析Q学习算法的基础上，给出调度问题的马尔可夫决策过程描述；

S(λ): A reinforcement learning algorithm based on average-payoff MDPs

S（λ）：一个基于平均奖赏MDPs的激励学习算法

Both of the models were trained by a ML ( maximum likelihood) algorithm for Bayesian network learning, then the testing DNA sequence data were feed into the model and a 10-fold cross validation method was used to evaluate the performance of prediction.

通过贝叶斯网络的最大似然学习算法求出模型参数后，利用10分组交互验证方法对测试数据进行剪接位点预测。

Study of Intrusion Detection Algorithm Based on Semi-supervised Learning

基于半监督学习的入侵检测算法研究