本文将专家在平衡—模拟倒摆小车时记录下来的数据经处理后，用监督式学习的方法训练一前置式神经网络。
In this paper, we present a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
提出一种采用种经网络辨识负载流量原理实现液压泵恒流量调节的新方法。
A new method that hydraulic pump constant flow regulating is realized by using the principle of identifying the load flow with neural network is proposed.
这种方法的主要思想是利用数据挖掘方法，从经预处理的包含网络连接信息的审计数据中提取能够区分正常和入侵的规则。
The main idea is to apply data mining methods to learn rules that can capture normal and intrusion activities from pre-processed audit data that contain network connection information.
采用平衡的倒摆小车所记录下来的数据，经处理后用有师学习方法来训练前馈神经网络。
Presents a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
该方法把经单独训练的具有一定差异度的单个BP神经网络加以集成，构成舌苔分类器。
In the method, those single BP neural networks which have been trained solely are integrated averagely in order to build up the tongue coat classifier.
基于网络分析中置换定理的思想，本文提出了一种适用于非线性电路有容差情况下，模拟电路子网络经故障诊断的新方法。
Based on the idea of substitution theorem, this paper presents a new fault diagnosis method of subnetworks in tolerance analog circuits, and it is applicable to nonlinear large net works.
所设计的进化神经网络经实际应用取得了很好的结果，表明该方法是有效的。
This encoding method is used in the proposed evolutionary ANN. The results show that it is effective.
本文叙述了利用网络信息计量学方法和计算机技术，研究出经济实用的图书馆网络读者访问流量统计分析系统，该系统经实际应用证明可以高效、准确地描述网络读者访问情况。
Based on the modern computer techniques and e-Metric, an economical and practical network reader flux statistical analysis system is developed by us on present paper. The efficiency and accuracy...
本文叙述了利用网络信息计量学方法和计算机技术，研究出经济实用的图书馆网络读者访问流量统计分析系统，该系统经实际应用证明可以高效、准确地描述网络读者访问情况。
Based on the modern computer techniques and e-Metric, an economical and practical network reader flux statistical analysis system is developed by us on present paper. The efficiency and accuracy...
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