神经网络

According to these features, a hybrid genetic algorithm is developed to optimize the operation of pulverized system in admixing combustion conditions, where a fuzzy neural network is adopted to evaluate admixed coal's slag property, and a radial basic function neural network is used to predict pulverized coal's fineness and mill's outlet temperature.

本文将人工神经网络和遗传算法相结合形成混合优化算法，对电站多煤种掺烧制粉系统运行进行寻优。针对掺烧煤结焦的模糊性和非线性特征，采用模糊神经网络评估混煤的结焦特性，并利用径向基神经网络关联掺烧煤的煤粉细度和磨出口温度。

In fact, case based-reasoning and BP neural network could be combined together to achieve the data fusion on the characteristic level. There is ability of analogizing and concluding in CBR. By using CBR, we are able to accumulate a set of cases.

为了使神经网络和CBR充分发挥各自的优点，互相补充对方的不足，将基于范例推理与并行BP神经网络结合起来共同完成特征级融合处理，提出了基于范例推理与神经网络的结合学习机制。

Especially, the dynamic neural network, which containing feedback process can directly and vividly reflect the dynamic nature of systems, thus it is attractive to use neural network technology to forecast the dynamic, non-linear exchange rate.In this paper, firstly we reviews and commentates the literatures of foreign exchange rate forecast, then introduces and analyzes from three perspectives, which are the basic theory of the exchange rate forecast, the main model and technical approach.

人工神经网络技术是一种非线性系统逼近和建模的有效工具，由于其具有良好的非线性映射能力及自适应、自学习和泛化能力，特别是包含反馈过程的动态神经网络能够更直接更生动地反映系统的动态特性，因而利用神经网络技术来对动态、非线性的汇率系统进行预测别具潜力。

The third is how the emission amount is foreknown under the neural network and Genetic Algorithms. The data management of Gas and prediction system will be discussed.

论文在简单介绍神经网络和遗传算法的基本原理后，提出了神经网络和遗传算法的瓦斯涌出量预测方法，将神经网络和遗传算法应用于瓦斯涌出量预测问题。

Ack-propagation neural network, one of the most typical models of artificial neural network, has been widely used in many fields.

P神经网络是各种神经网络模型中具有代表意义的神经网络模型之一，己获得了广泛的应用。

After checking the evaluating results computed in ANN, it is found that they are similar with that in the Principal Components Method. Then the predicting model is built, which of the error is found smaller than 10%. So it is fully proved that the ANN model is feasible in the studies of quantitating the water resource integrative carrying capacity in karst area.

为了验证神经网络模型的可靠性，将神经网络模型评价的结果与主成分分析法计算的结果进行比较，两种方法的评价结果大致相同；所建预测模型经检验误差小于10%，精度较高，充分说明人工神经网络模型在喀斯特地区水资源承载力的量化研究具有较强的可行性。

In this method, wavelet is used to extract fault characteristics and neural network is used to diagnose the faults; the inputs and outputs of the neural network are all memberships concretely, the inputs are the memberships of the crest factor, pulse factor, margin factor, bias factor, kurtosis factor and maximum spectrum on each characteristic domain, and the outputs are memberships of each fault.

即利用小波变换获取特征域，取特征域上的峰值因子、脉冲因子、裕度因子、偏态因子、峭度因子及频谱最大值作为神经网络的输入，并对神经网络的输入、输出进行模糊化处理，以神经网络进行诊断。

A neural network predictive control based on neural network multistep prediction and a neural network predictive control for autopilots of ships based on fuzzy predictive model are proposed.

提出了基于神经网络多步预测输出的船舶航行神经网络预测控制。提出了基于模糊预测模型的船舶航行神经网络预测控制。

By using the methods given in this dissertation, stabilization of stochastic neural networks with diffusions and delays is studied. Some sufficient conditions are given to guarantee the exponential stability and stabilization of the neural networks.

运用本文研究随机反应扩散系统稳定性的方法，分析了具扩散项的随机神经网络以及对应的滞后神经网络的解的镇定性，获得了该类神经网络指数稳定与镇定的若干充分条件。

At first, the neural network is applied to quark and gluon jets produced from the Monte Carlo simulation of e~+e~- collision at s~(1/2)= 91.2GeV. From this application, some factors which will affect the performance of neural network are investigated.

首先我们利用神经网络来识别蒙特卡罗产生的正负电子在91.2GeV碰撞下生成的夸克喷注和胶子喷注，考察了一些影响神经网络判别性能的因素，以获得关于应用神经网络的一些规律性的知识。

Singer Leona Lewis and former Led Zeppelin guitarist Jimmy Page emerged as the bus transformed into a grass-covered carnival float, and the pair combined for a rendition of "Whole Lotta Love".

歌手leona刘易斯和前率领的飞艇的吉他手吉米页出现巴士转化为基层所涵盖的嘉年华花车，和一双合并为一移交&整个lotta爱&。

This is Kate, and that's Erin.

这是凯特，那个是爱朗。