This means that any learning algorithm requires some kind of "bias" to distinguish between these plausible outcomes.
这就意味着，任何学习算法都需要一些“倾向性”，用来区分可能的结果。
Simulation shows that the learning algorithm has a fast convergence speed and good stability.
仿真表明，该学习算法收敛速度快、稳定性好。
A new rapid layer-wise learning algorithm for feed-forward neural networks is proposed in this paper.
本文提出了一种新的前向神经网络快速分层学习算法。
To simplify the calculation, a learning algorithm based on the expansion of the orthogonal basis functions is developed.
为简化模型的计算复杂度，开发了一种基于正交基函数展开的学习算法。
The support vector machine is a learning algorithm, which has a good classification ability for limited training samples.
支撑矢量机是一种能在训练样本数很少的情况下达到很好分类推广能力的学习算法。
A fast incremental learning algorithm is proposed.
提出了一种快速、增量式的学习算法。
LM learning algorithm is adopted in BP network learning.
BP网络的学习采用了LM学习算法。
The learning algorithm is BP (Back Propagation) algorithm.
学习算法为反向传播算法。
Several computer simulations show advantages of the learning algorithm.
计算机实验结果说明了学习算法的优越性。
Presents an improved incremental learning algorithm based on KKT conditions.
提出了一种改进的基于KKT条件的增量学习算法。
Based on conventional BP algorithm, a modified BP learning algorithm is proposed.
在传统的BP算法基础上，提出了一种改进的BP学习算法。
The selection for input variables and the learning algorithm are analyzed in detail.
详细地对输入量的选择和学习算法进行了分析。
This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases.
提出了一种二层学习算法来优化模糊规则基。
This paper proposes a dictionary learning algorithm which is applied to image de-noising.
本文提出一种超完备字典学习算法并应用于图像去噪。
An average reward reinforcement learning algorithm for control Markov chains is presented.
讨论平均准则控制马氏链的强化学习算法。
An incremental learning algorithm using multiple support vector machines (SVMs) is proposed.
给出了使用多支持向量机进行增量学习的算法。
A new second order recursive learning algorithm to multilayer feedforward network is proposed.
提出了多层前向神经网络的新型二阶递推学习算法。
The combinational equivalence check methods based on recursive learning algorithm are discussed.
并讨论了基于递归学习的组合电路等价性检验方法；
In this paper we proposed an adaptive equalizer based on complex Hebbian-type learning algorithm.
在本文中我们提出一种基于复数赫布类型算法的自适应信道均衡器。
From the view of description complexity, this paper proposes a new optimization learning algorithm.
从描述复杂性的角度出发，提出了一种新的优化学习算法。
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
The network structure, learning algorithm, feature extraction and synthetic decision are described.
文中阐述了其网络结构、学习算法、特征提取及综合决策方法。
A simple machine learning algorithm called naive Bayes can separate legitimate email from spam email.
一个简单的机器学习算法，朴素贝叶斯算法可以把正规邮件从垃圾邮件里面分离出来。
Minimum entropy is chosen as a heuristic strategy in decision tree (DT) learning algorithm such as ID3.
决策树的学习算法，比如id3算法，选用最小信息熵作为启发式信息。
Immune algorithm is a kind of intelligent learning algorithm which simulates the biology immunity systems.
免疫算法是模拟生物免疫系统功能的一种智能学习算法。
In this paper, a novel tensor subspace learning algorithm, tensor locality discriminant projection, is proposed.
本文提出了一种新的张量子空间的学习算法：张量局部判别投影。
Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is proposed.
提出了一种基于免疫识别原理的径向基函数神经网络学习算法。
A learning algorithm based on Lyapunov stability is derived to fuzzy relational model identification in this paper.
本文在李雅普·诺夫稳定性意义下，提出了一种辨识模糊关系模型的学习算法。
Based on the idea of standard back-propagation (BP) learning algorithm, an improved BP learning algorithm is presented.
在标准反向传播神经网络算法的基础上，提出了一种改进的反向传播神经网络算法。
Linear noise canceller based on TDNN was proposed, and its model, learning algorithm and universal approximation were discussed.
提出基于TDNN神经网络的线性噪声消除器，讨论了它的模型与学习算法及其通用逼近性。
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