learning algorithm的例句大全

presents the mathematical expressions of adding new learning sample and adding new redial basis function of relearning algorithm, studies how to get the new learning sample.

详细给出了径向基函数神经网络再学习算法中增加新训练样本和增加新基函数的数学公式，同时对如何获取新的训练样本进行了研究。

compared with relearning vocabulary, this transfer learning algorithm makes use of learned knowledge effectively, which can gain good performance especially in the situation when there are a few images in a novel category.

与重新学习视觉词典的分类算法相比，这种迁移算法有效地利用了已有知识，在新类别图像的训练样本较少的情况下，也能获得较好的分类效果。

Graph-based semi-supervised learning algorithm is drawing lots of attention in recent years due its some internal characteristics.

半监督学习中的基于图的算法由于自身的一些特殊性质，越来越引起人们的关注。

Based on the fundamental rules of human brain's analyzing and reasoning in clustering, this paper proposes a learning algorithm of neural networks of fuzzy hypersphere barycenter Clustering.

基于人的大脑进行聚类分析所遵循的基本原则，提出了一种模糊超球质心聚类神经网络学习算法。

The advantages and weaknesses of each type time delay compensation algorithm are analyzed, leading to the iterative learning algorithm. Thirdly, the effect of the network time delay to the linear system is analyzed and the time delay composition model is built.

分析每类时滞补偿算法的优点和不足，并引出迭代学习算法。再次，分析网络时滞对线性系统的影响，对时滞进行分析和建模。

The existing distributed machine learning algorithm library, Mahout, offers some classic classification algorithm, such as Bayes and decision trees.

现有的分布式机器学习算法库Mahout，提供了一些经典的分类挖掘算法，如贝叶斯、决策树等。

Improving the SA Learning Algorithm

BP网络局部学习速率自适应SA算法的改进

furthermore, in order to overcome the disadvantage of the centralized computing of rpe learning algorithm, a parallel structure algorithm is derived.

进一步地，为了克服RPE算法集中运算的不足，设计完整的并行结构算法。

The Principle& Learning Algorithm of Nonlinear CC Neural Model

非线性CC神经元模型的原理及其学习算法

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

A forward propagation learning algorithm of multilayered neural networks with feedback connections

多层反馈神经网络的FP学习和综合算法

This algorithm converges much faster than original BP learning algorithm.

而且该算法比通常的BP学习算法收敛性好、速度快。

A Shunting Inhibition Neural Network Structure and Learning Algorithm

一种并联抑制神经网络结构及学习算法

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。

An Accelerated Learning Algorithm for Neural Networks by Gradient Power Method

加快神经网络学习的梯度幂次法

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。

Investigation on Description of Learning Space Based-on Interval Fuzzy Sets and Fuzzy Inductive Learning Algorithm

基于区间值模糊集的学习空间描述及其模糊归纳学习算法研究

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, we first analyze the deficiencies of traditional fuzzy neural networks and improve the learning algorithm. The Layer-Proceeding BP Neural Networks ( LPBPNN) is given based on the hierarchical error and the learning rate which can cooperatively adjust.

本文首先分析了传统的模糊神经网络存在的缺陷，改进了学习算法，提出了将误差与学习率分层，协同调整的层递式BP神经网络。