learning algorithm的例句大全

A fast learning algorithm for part of speech tagging: an improvment on brill's transformation-based algorithm

用于词性标注的一种快速学习算法&对Brill的基于变换算法的一项改进

and a machine learning algorithm was proposed to handle the assignment of secondary accent.

而次重音的标注完全通过机器学习算法来进行。

Also the BP learning algorithm is studied as well.

同时还研究了BP网络的自适应算法.

An Immune Learning Algorithm Using Real Numeric Code

一种实数编码的免疫学习算法

Experiments show that multi-label covering algorithm performs at par with other multi-label learning algorithms and has the advantage of lower time/ space cost.

实验表明，多标记覆盖算法的性能达到了同类算法中的先进水平，并且在时空开销上具有优势。

Using Quantum Genetic Algorithm to Improve BP Learning Algorithm

利用量子遗传算法改进BP学习算法

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。

Semi-Supervised Learning Algorithm Based on SVM and by Gradual Approach

基于支持向量机的渐近式半监督式学习算法

The algorithm speeds up network study train, compared with the Real-time Recurrent Learning algorithm consumedly, and increases the accuracy of prediction.

与已有的实时循环学习算法相比，极大的提高了网络学习训练的速度，并且提高了预测的精度。

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

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。

A learning algorithm which can simultaneously evolve the network structure, the weights, the initial inputs of structural unit, and the self-feedback gain coefficient was proposed.

提出了对网络的结构、权重、结构单元的初始输入和自反馈增益因子同时进化的学习算法。

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

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。

A new hybrid learning algorithm NHLA, which combines the variant IBP of algorithm BP and the random optimization algorithm presented by Dr Solis and Wets, is presented.

首先提出变形的BP算法IBP，然后将它与Solis和Wets的随机优化算法相结合，提出了新型混合学习算法NHLA。

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；