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neural net相关的网络例句

查询词典 neural net

与 neural net 相关的网络例句 [注:此内容来源于网络,仅供参考]

The test results show that neural net combined with matrix can be applied conveniently and effectively in feature recognition of aluminum wallboard profile.

并采用神经网络分别对带与不带噪声的整体壁板特征识别进行了研究、训练和测试,论证了矩阵构造的神经网络在壁板特征识别中应用的可行性。

The back propagation artificial neural net is applied in random response analysis of structure. Thus, the process of finite element computing repeat several times and train BP net between the random input variables and the corresponding response parameters.

采用BP人工神经网络这一映射迅速的运算方法,通过计算少量样本对应的有限元结果,进行训练,将训练好的网络用于结构的随机响应分析。

In the first step, we set up a feature vector database, then we use Euclidean distance metric and a three-layer BP neural net to recognition.

在识别阶段,首先使用欧式距离进行特征矢量之间的匹配来识别,然后考虑到神经网络在处理诸如学习、理解等问题具有的优越性,又采用了神经网络方法进行识别分类,论文中采用一个三层前馈神经网络,权值调整使用BP算法。

Studies on the tautologies in some lattice valued logic systems and formula computation by means of neural net works.(1) Tautologies play a significant role in logic applications.

二、一类格值逻辑系统中的重言式和逻辑公式的神经网络计算 1、重言式在逻辑系统的应用中起着重要的作用。

Based on discussing the fundamental topology of a neural net for signal analysis and synthesis in mathematical way, a complete structure for adaptive signal analysis was implemented with modified functional-link net.

在此基础上,用NNAS方法对语音信号进行了分析与合成实验,在高压缩率的情况下,仍能得到很高清晰度的合成语音。

Subsequently, an analysis of global approximation property of the model is performed with a learning algorithm of neural net devised.

再次,分析了模型的全局逼近性,设计了网络学习算法。

The effects of the initial values and the network approximation error using neural network model composed of feedforward neural net and delayed output feedback in the approximation of NARMAX system are studied, and a conclusion is drawn that under some weak conditions the output of the network model has little difference from that of the actual system.

研究了用带有延迟环节的前馈网组成的网络模型逼近NARMAX系统时网络逼近误差及运行初始误差对网络模型输出的影响,指出在一些弱的条件下网络模型输出与实际系统输出间相差不大。

To find more suitable extraction algorithm for neural net recognizers, the applications of LPC sepstrum as well as the RW are investigated, and new procedures for the vector alignment and the normalization are proposed. The Time-Delay Neural Net model is generalized, and two kinds of non-uniformly windowed-time-windowed and component-windowed -pyramidical architectures are proposed.

为寻找比较适合于神经网络识别器的特征提取方法,文中研究了RW法和LPC倒谱系数特征提取法在神经网络中运用,并提出了一种新的时间对准和向量规整的方法;推广了时延神经网络模型,提出时间划分和分量划分两种加非均匀窗的金字塔状结构。

A merge-split algorithm based on study property of neural net and sum aggregate is presented. Its merit is that its merge is disconnected a little and freedom satisfies the adaptability, and it is realized during learning rather than stipulating in advance. Furthermore, the method of fitting edge of uncontinuous image with neural net is given. The method can carry on the fit at self-learning, using its learning function fully under the circumstances without the mathematical function form of edge.

提出了一种基于神经网络学习特性和集合论的边缘分段算法(Merge-Split),优点在于它的分段间断点、自由度满足自适应性,能在学习过程中实现而不必事先规定;进一步提出神经网络拟合不连续的图像边缘的方法,在无边缘数学函数形式的情况下,充分利用其学习函数的任意逼近和自学习性进行拟合,实践证明该方法可以克服以往边缘拟合方法的不足。

But because of some bugs, they cannot be applied more widely. Base on these, a new control method called ""self-organized fuzzy control base on dynamic structure neural network ""is proposed in this article. It syncretizes the strongpoint of Fuzzy control and Neural Net control, and attain optimization control with the adjusting the number of the net's layer.

针对这种时变大时滞被控对象的特点,目前主要采用Smith、Dahlin和IMC控制,这些控制方法在某方面可能得到一定应用,但由于其本身存在某些缺陷,因此不可能得到广泛应用,笔者在此基础上提出了一种基于动态结构的神经网络自组织模糊控制,它融合了神经网络和模糊控制的优点,并能通过在线调整网络的层数以达到最优控制的效果。

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