查询词典 neural network

This paper starts from analyzing the internal machinism of chemical process and proceeds with studies of how to apply Input Training Neural Network and RBF Neural Network to model the complex process of pyrolysis.

将机理模型计算数据与现场采集数据相结合，获得正交性和完备性较好的训练样本数据，增强模型的外推能力和可信度。研究应用粒子群算法解决乙烯裂解炉的操作优化。

The neural network model simulates the visual characteristics of the human visual system by axons delay pulse neural network in order to extract the moving target and anlyse the actual significance of pulse neuroid algorithm.

这里提出一种基于神经轴突延迟机制，利用脉冲神经元网络模型对运动目标进行检测与跟踪的算法，该神经网络模型是利用轴突延迟脉冲神经网络模拟人类的视觉特性，从而提取运动目标，并具体分析脉冲神经元网络算法的实际意义。

At the same time, artificial neural network was adopted to put forward a new thoughtfulness and effective method for evaluating mineral resources synthetically, which can break through restrictions of statistical models on synthetical assessment of mineral resources. Shooting at nodi and pivotal problems in GIS-based mineral resources assessment, the integration of assessing methods of mineral resources, GIS technology and artificial neural network were emphasized.

以计算机可视化技术便捷、直观的展现出矿产资源综合评价的全过程；利用GIS强大的数据管理和空间分析功能，有效的解决了多源、多类型、多属性地质数据的处理和分析问题；利用人工神经网络技术突破了统计数学模型对矿产资源综合评价及成矿预测的约束和限制，为矿产资源综合评价提供了一种新思路和有效的方法。

The characteristics of genetic algorithm,global searching of Genetic Algorithm for complex,multi-apices,and nondifferentiable nonlinear function are applied to the Hopfield neural network,which results in the inputting pattern getting away from the attraction domain of fault pattern and the Hopfield neural network associative memory remaining high success rate while the noise to signal ratio is high.

0引言Hopfield神经网络模型在神经计算、优化求极值、联想记忆等方而取得了重大应用，联想记忆能够从不完整的或模糊的信息中联想出存储在记忆中的某个完整清晰的图像模式，但一般离散Hopfield模型存在很多伪稳定点[2]，这些伪稳定点的存在，不仅使真稳定点的吸引域变小，而且使网络

The SMLMS Algorithm for the Multilayer Feedforward neural Network This part analyzes the misadjustment noise introduced by the momentum factor α for traditional error Back-Propagation algorithm, and demonstrates that it is a nonnegligible factor to effect the convergent precision of the neural network.

第三章通过分析传统BP算法中存在的动量误调噪声对整个网络的收敛精度所造成的影响，确认传统BP算法中的动量误调噪声对多层前向神经网络的学习确有不可忽略的消极作用。

This method consists of two steps: first, the image is divided into numbers of nonoverlapping blocks and the GMRF parameters are computed for each of these blocks, then a clustering method is used to merge these blocks, a coarse segmentation and texture types of the image are obtained. Second, a deterministic relaxation neural network is constructed, the parameters of the model estimated from the first step are used as input data, through neural network computation, a fine segmentation is obtained.

提出一种基于高斯-马尔可夫随机场和神经网络的无监督纹理分割方法，方法分为两步：第一步先将图像分为不重叠的小块，在小块中计算GMRF参数，并将此参数和该块的均值、方差作为该块的特征向量，然后进行聚类，得到原图像的一个初始分割和图像中所包含的类别数；第二步构造一个决定性松弛的神经网络，将第一步得到的结果作为初始输入，经过神经网络计算，得到一个精确的分割结果。

In this paper, Neural Network and Combined Wavelet Transform with Neural Network for OCPD are studied systematically. It also eliminated the artificial influence in oscillographic determination, enhanced the automatization degree of OCPD.

本论文对神经网络及其与小波变换相结合用于示波测定进行了系统的研究，较好地消除示波测定中人为误差的影响，提高了示波测定的自动化程度，全文共分四章。

After analysis and parison of virtues and hort ings of existing systemsafety evaluation ways, Artificial Neural Network, Artificial Intelligence and Expert System are used to build new system safety evaluation means. System safety evaluation model and intelligent expert system for fault diagnosis based on ANN have been put forth. Development and realization of visual neural network for system safety valuation and fault diagnosis provides new idea for system safety evaluation and accident mode diagnosis.

对已有的系统安全评价技术方法的优缺点进行了分析和对比，继而将神经网络技术、人工智能技术、专家系统应用于开发新的系统安全评价方法，提出了基于人工神经网络的系统安全评价方法和基于神经网络的智能故障诊断专家系统模型，开发了可视化的神经网络系统，为系统安全评价与事故模式诊断提供了新思路。

In this part, the author advanced a new neural network model for natural language processing, Seme neural network model, and applied it to the experiment of matching the nouns and classifiers in chinese.

本文的第四章针对微型储能装置在保护敏感负载的应用，提出了多重化移相式单象限斩波器结构，并对该结构进行了分析和仿真。

Then, according to phase space reconstruct technique from one-dimensional and multi-dimensional time series, the quantitative criterion and rule of system chaos which combine neural network, analyses, computations and sort are conducted on EEG signals of five kinds of human consciousness activities. The author finds that statistic results of the determinism computation in time series indicate that chaos characteristic may lie in human consciousness activities, and central tendency measure is consistent with phase graph, so it may become one division way of attractor; approximate entropy of different subjects exists discrepancy; correlation dimension and Lyapunov exponent of different consciousness activities indicate that attractors of human activities are all fractional; nonlinear quantitative criterion and rule, which unites neural network, can distinguish different styles of consciousness activity in principle, and the result of sortation takes on that consciousness activity type of arithmetic is distinguished more easily than that of abstract.

采用一维与多维时间序列相空间重构技术和系统混沌的定量判据准则，结合神经网络，对五种思维作业方式的脑电信号进行了分析、计算与分类，发现确定性计算的统计结果表明人类的意识活动中可能蕴含混沌特性，中心趋向测量(Central Tendency Measure，CTM)与相图吻合较好，可作为EEG吸引子的区分方法之一；功率谱分析反映出单个受试者的各种意识形态的差异很小，但是不同意识活动谱中的活跃频段还是略有差异的；个体之间的近似熵存在差异，同种状态下近似熵大的人可能具有更好的创新性；关联维数和Lyapunov指数的计算结果表明大脑的运动落在具有分维的奇怪吸引子上；非线性量化方法与神经网络相结合，可对人脑思维活动进行较好的分类，并且从分类结果来看数理计算类思维活动较抽象类思维活动有着更好的区分度。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。