查询词典 neural

ABSTRACT :Wavelet neural network possesses more degree of freedom and better adaptivity than multi-layer FP neural network.

内容摘要：摘要：小波神经元网络比多层前馈神经网络具有更多自由度和更好的适应性。

Based on the principle of BP neural network,a neural network model for predicting the properties of SBR compound was established by using the additional levels of several ingredients as the input variables and the corresponding tensile strengthes,elongations at break,tear strengthes and t90 as the output variables.

沈阳化工学院材料科学与工程学院，辽宁沈阳110142）摘要：根据BP神经网络原理，以SBR中的几种配料用量为输入变量，对应的胶料拉伸强度、拉断伸长率、撕裂强度和t90为输出变量，建立神经网络分析预报模型。

In the traditional neural networks based on gradient decline, nonlinear object functions with multiple extrema are easy to get stuck in the problem of local optimization solution. Therefore, a new method of chaos optimization neural network with weight learning is introduced in this paper.

针对传统的基于梯度下降法BP神经网络中存在非线性多极值目标函数易陷于局部最优解的问题，提出了一种权值学习混沌优化的神经网络方法。

This text aims at the difference of several representative geology conditions in Yang Shui mining area, carried on the primary election to the mining method of Yang Shui mining area, introduced the new theories of numerical optimization choice of mining method that are fuzzy mathematics and artificial neural network etc, based on the existing mining methods that are feasible, adopt the fuzzy optimization choice principle of flexible neural networks, and synthesize several experts and fieldworkers' opinion, built up the related mathematical model and revised model, carried on processing of programming through computer, thus established each optimization mining project under several representative geology conditions in Yang Shui mining area, and carried on optimizing to the existent unreasonable parameter in mining project;have the great significance to aim at each kind of geology condition for each mining area to adjust the mining method in time in the course of mining, abandon chronically unreasonable mining method, full reclaim the mine's resource, lower the dilution rate、 loss rate of mineral mining, raise the production capacity of stope and economic benefit of mine.

本文针对洋水矿区几种典型地质条件差异，对洋水矿区采矿方法进行了初选，介绍了模糊数学和人工神经网络等采矿方法数值优选新理论，在现有可行性采矿方法的基础上，采用弹性神经网络模糊优选原理，并综合多位专家及现场工作者的意见，建立了相关的数学模型及修正模型，通过计算机进行编程处理，从而确立了洋水矿区几种典型地质条件下各自的最优采矿方案，并针对采矿方案中存在的不合理参数进行了优化，为各矿区针对各类地质条件在采矿过程中及时调整采矿方法，摈弃习惯性的不合理采矿方法，充分回收矿山资源、降低矿石开采的贫化率、损失率，提高采场生产能力以及矿山经济效益具有重大意义。

A radial basis function neural network, as well as a back propagation neural network for comparison, is trained and tested using 23 series of centrifuge model test data, 2 fullscale test data, and prototype date of a practical project.

收集23组挡墙离心模型试验数据，2组足尺试验数据，1组实际工程的破坏数据，共26组样本作为训练及检验样本，建立了可用于加筋挡墙设计高度预测的径向基函数网络及误差反传网络模型。

The basic idea is to have an environment to easily train many neural networks in parallel,initialised with different weights, parameters or different architectures, so the user can find the best NN simply by selecting the fittest neural network after the training process.

最基本的方法是有一个环境，它能容易的训练许多神经网络，它们是平行的，以不同的权值。参数。或者不同的结构体系，这样一来用户就可以在训练过程结束以后简单的通过选择最合适的神经网络来得到最佳的。

Also the convergence of temporal difference method is discussed. The method is put forward that Neural Network is used to implement multiaction Adaptive Heuristic Critic and Q-learning first, and then the five methods that can speed up the reinforcement learning are presented in allusion to slow learning speed of reinforcement learning system, they are quantisation of input space, local approximating neural network used to realize the reinforcement learning system, synthesis reinforcement learning algorithm, action model and prior knowledge.

针对强化学习系统学习速度较慢的问题，提出了提高强化学习速度的5种方法，即输入空间的量化方法、采用局部逼近神经网络实现强化学习系统方法、采用强化学习综合学习算法和利用动作模型及先验知识等方法，通过仿真实验验证了所提出方法的有效性。

Based on the summarization of the stateoftheart of the shortterm traffic flow prediction methods, two short-term prediction models of traffic flow that include bp neural network and rbf neural network are discussed in this paper.

在总结交通流短期预测方法发展趋势的基础上，分别介绍了基于常规的bp神经网络和基于rbf神经网络的交通流量短期预测模型，并重点研究rbf网络模型的预测性能，确定了关键参数sc的最优值。

Firstly, population partition methodology is presented by combining characteristics of both the cooperative co-evolutionary genetic algorithm and the neural network. Secondly, a novel mixed encoding method is also put forward to perform synchronal optimization of structure and weights of the neural network. Proper crossover and mutation operators were designed based on the encoding method. Next, a novel structure optimization technique is given according to the relationship among encoding, representation and cooperative group. Representative individual selecting and fitness evaluating are given.

首先，结合合作式协同进化遗传算法本身特性和神经网络特点，给出种群分割方法；其次，为了实现结构和权值的同步优化，提出一种新的混合编码方法，并根据该混合编码方法设计新的交叉和变异算子；然后，根据编码结构、代表个体和合作团体之间的关系，提出一种新的结构优化方法；再次，给出进化过程所需代表个体选择、适应度构造方法等。

The paper adopts the RBF neural network to fit ship lines at the first time and puts forward the method determining the RBF center point sets suitable for fitting ship lines. It shows that the method is of much higher learning speed compared with BP neural network, and is both practical and feasible based on the examination of the fitting precision by using the power function and circular function.

采用RBF神经网络拟合船舶型线，提出了适合船舶型线拟合的RBF中心点集的选取方式，与BP网络相比大大提高了学习速度和精度，用幂函数和圆函数检验本方法拟合曲线的精度，充分证明本方法拟合船舶型线是实用可行的。

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。