Network learning has increasingly become an important means for people to acquire knowledge and solve problems.
网络学习已日益成为人们获取知识和解决问题的重要手段。
LM learning algorithm is adopted in BP network learning.
BP网络的学习采用了LM学习算法。
The important characteristic of network learning is the learners' independence.
网络学习的重要特征是学习者的自主性。
This types of training mainly relys on network learning in World University City.
这类培训主要是以依托世界大学城网络学习为主。
Will you design a new neural network learning algorithm, or add a cool sound effect?
请问你会设计一个新的神经网络学习算法，或添加更酷的声音效果吗？
High quality resource classes and network learning space for everyone are the application tasks.
“优质资源班班通”和“网络学习空间人人通”都是应用任务。
An effective network learning method is formed by combining GA, BP algorithms with fuzzy logic system.
将模糊逻辑系统、GA算法与BP算法相结合，形成一种有效网络学习方法。
But, how we can adapt to Network learning methods and establish a correct concept of the Network learning;
但是，我们如何适应网络学习方式，树立准确的学习观念；
The easy-to-use interface allows you to set minimal conditions for preprocessing and neural network learning.
易于使用的界面，使您能够设置最小的条件进行预处理和神经网络学习。
Among it, supplying the personalized support is the effective approach for improving network learning quality.
而其中提供个性化的支持是提高网络自主学习质量的有效途径。
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 Radial Basis Function (RBF) neural network learning algorithm based on immune recognition principle is studied.
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 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。
The results show that the model has a great efficiency of network learning and a high accuracy of prediction and judgement.
实际应用表明：该模型大大提高了网络的学习效率和预测评判的精度，可以作为油气集输管道腐蚀速率预测的良好工具。
We collect the network learning material with view to the young learners actual language receptivity and psychological character.
栏目的收编内容均为针对少儿的实际语言接受能力和心理特点的，适合网络学习的精选内容。
This method can avoid the problems of depending on a large number of data with high quality in existing Bayesian network learning.
该方法可避免现有的贝叶斯网络学习过于依赖数据、对数据的数量和质量要求过高等问题。
A personality mining method is proposed to obtain the personality characteristics of learners automatically in the network learning.
提出了一种面向个性化网络学习的学习者个性挖掘方法，以实现网络学习中学习者个性特征的自动获取。
My individual think network learning and traditional teaching also as the difference of electronic information and paper drawing book as.
我个人认为网络学习和传统教学也正如电子资料与纸制图书的区别一样。
The system comprises teaching, network learning, graduation project and electronic design competition, which form a feedback teaching system.
结合课堂教学、网络学习的特点，分别提出采用任务驱动法和及时教学法；
Building relative capital, improving relative scope and utilizing hard restriction, such as bargain, institution, will help network learning.
有效的网络学习应建立合理资本，提高合理范围，还必须借助于合同、制度等硬约束方式。
The experimental results show that the network learning speed can be increased and the nonlinear errors of the sensors can be reduced by using BPNN.
实验结果表明采用BP神经网络可以提高网络收敛速度，大大减小传感器线性误差。
The algorithm can remove redundant link even nodes on the network, through the network learning step dynamic adjustment to avoid convergence speed of.
该算法能够删除掉冗余的连接甚至节点，通过对网络学习步长的动态调整，避免了算法收敛速度过慢和反复震荡的问题。
Information technology has formed network learning environment, digital learning resources and digital learning model after it was utilized in education.
信息技术应用到教育教学过程后，形成了网络化的学习环境、数字化的学习资源、数字化的学习方式。
The Micro-level strategy is the "Auxiliary" of E-learning strategies, as a"tactic" to be directly used to guide specific process of the network learning.
微观层次策略是网络学习策略之“辅”，是作为一种学习的“战术”，直接用来指导具体的网络学习过程。
Understanding of investment information, from the newspaper, television, network learning investment knowledge, enrich the mind, release ideas, update ideas.
了解招商方面的资料，从报纸，电视，网络上学习招商方面的知识，充实头脑，放开思想，更新观念。
Specifies the percentage of training cases used to calculate the holdout error, which is used as part of the stopping criteria during neural network learning.
指定用于计算？效组错误的培训案例之百分比，以在类神经网路学习期间作为停止准则的一部分。
In this paper, we proposed a parallel BP neural network learning algorithm with the support of PC cluster under the circumstance of PVM (parallel Virtual Machine).
本文提出了一种利用微机机群来实现并行处理，在并行编程环境P VM中实现BP神经网络的并行学习算法。
In this paper, we proposed a parallel BP neural network learning algorithm with the support of PC cluster under the circumstance of PVM (parallel Virtual Machine).
本文提出了一种利用微机机群来实现并行处理，在并行编程环境P VM中实现BP神经网络的并行学习算法。
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