神经网络

Study modelling thought, network configuration, majorize GNNM(1,1) mode method and learning algorithm of GNNM(1,1) mode combined grey system theory and neural network.

研究了灰色系统理论与神经网络组合的灰色神经网络GNNM(1，1)模型的建模思想、网络结构及其优化GNNM(1，1)模型的方法和学习算法

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 image reconstruction algorithms is thoroughly researched. The Filter Back Projection , Algebra Reconstruction Technology and fan beam data rearrangement algorithm used in medical computer tomography are improved. The NOSER algorithm, linear neural networks method and Hopfield neural networks method are presented and gain the better result of image reconstruction.

深入研究了图像重建算法，改进了医学CT的滤波反投影算法、代数重建技术和扇束投影数据重排方法，提出了带图像光滑约束的NOSER算法、线性神经网络方法和Hopfield神经网络方法，并得到了较好的图像重建结果。

Objective To establish a model based on artificial neural network in the prediction of nosocomial infection risk.

目的：应用人工神经网络系统，建立基于人工神经网络的住院患者医院感染危险度的预测模型。

By means of the novelly decoded manner and the well constructed fitting function, the global searching performance for the GA is developed so that optimized RBPNN approaches to the parsimonious structure;(4) A ROLS micro-genetic algorithm was built by integrating the micro-genetic algorithm with good convergence performance based on tiny class of group with the ROLS-SOA.

提出一种新的基于径向基概率神经网络的模式识别融合系统，即多分类器系统，避免了单一径向基概率神经网络分类器的分类局限性，减少了寻求单一分类单元结构最优化时的计算复杂度，通过使用D-S融合算法，大大提高了对复杂模式识别问题的分类精度。

The results show that the learning algorithm of FNN based on PSO is superior to the BP algorithm observably. The PSO algorithm has a good application in neural networks.

研究表明，PSO算法在前向神经网络权值的学习算法中其所有的性能指标均优于传统的BP算法，PSO算法在神经网络的应用中具有广阔的前景。

In this pape r, we discuss some problems of feedforward neural networks. A mathematical theory is introduced for the feedforward neural networks.

讨论了目前前馈神经网络研究中存在的一些问题，给出了前馈神经网络的一种数学框架。

In this pape r, we discuss some problems of feedforward neural networks. A mathematical theory is introduced for the feedforward neural networks.

摘 要 讨论了目前前馈神经网络研究中存在的一些问题，给出了前馈神经网络的一种数学框架。

Because of the complex nonlinear relationship among psychrometric properties ,using conventional approaches to measure psychrometric properties is very difficult for hardware implementation,and can not satisfy the need of air-conditioning real-time control also.

为了解决这一问题，本文根据空调设计过程的特点，利用人工神经网络方法，建立了两个湿空气状态参数的神经网络预测模型，实现了湿空气状态参数的智能化预测。

The research result shows that, knowledge acquisition of ES, which can acquire through the learning of ANN, is not again a difficult problem; numerical values of ANN become more definite through rehandling by ES.

以卡钻事故为例的研究结果表明，对专家系统而言，知识的获取可以通过神经网络进行学习得到；对于神经网络纯粹的数值活动，通过专家系统再处理变得更加明确。

We have no common name for a mime of Sophron or Xenarchus and a Socratic Conversation; and we should still be without one even if the imitation in the two instances were in trimeters or elegiacs or some other kind of verse--though it is the way with people to tack on 'poet' to the name of a metre, and talk of elegiac-poets and epic-poets, thinking that they call them poets not by reason of the imitative nature of their work, but indiscriminately by reason of the metre they write in.

索夫农 、森那库斯和苏格拉底式的对话采用的模仿没有一个公共的名称；三音步诗、挽歌体或其他类型的诗的模仿也没有——人们把&诗人&这一名词和格律名称结合到一起，称之为挽歌体诗人或者史诗诗人，他们被称为诗人，似乎只是因为遵守格律写作，而非他们作品的模仿本质。

The relationship between communicative competence and grammar teaching should be that of the ends and the means.

交际能力和语法的关系应该是目标与途径的关系。